DeepIntent is leading the healthcare advertising industry with data-driven solutions built for the future. From day one, our mission has been to improve patient outcomes through the artful use of advertising, data science, and real-world clinical data. For more information visit, www.DeepIntent.com.

What You’ll Do:

We are looking for an Applied AI Engineer to embed directly with our US commercial and operational teams building a human and agentic “operating system” that powers how we work as a company. In this role, you will be a builder and a problem-solver — someone who translates day-to-day operational pain points into practical AI agent and automation solutions that free up capacity for higher-value work.

This is an ideal role for someone who is passionate about applied AI, comfortable working across business and technical teams, and excited to see their work make an immediate and measurable impact.

Build & Deploy AI Agents and Automations

• Design, build, and deploy AI agents that automate administrative and repetitive workflows across commercial operations.
• Identify high-value automation opportunities by working directly with stakeholders to map processes and surface inefficiencies.
• Develop solutions using LLMs (e.g., OpenAI, Anthropic Claude), workflow automation tools, RESTful APIs, and Python scripting.
• Prototype, iterate, and ship working solutions quickly — moving from problem to deployed tool with minimal overhead.

Partner with Business Teams

• Serve as the technical point of contact embedded within commercial and PMO teams, building strong working relationships with non-technical stakeholders.
• Translate ambiguous business needs into clear technical requirements and executable solutions.
• Communicate progress, surface blockers, and present solutions in a way that is accessible to both technical and non-technical audiences.

Maintain & Document

• Create and maintain clear technical documentation for all tools, workflows, and integrations you build.
• Monitor deployed solutions and proactively identify opportunities to improve reliability, performance, and adoption.

Who You Are

• Bachelors or Masters degree in Computer Science, Mathematics or Engineering
• Hands-on experience with AI/LLM tools, including configuring and prompting models from providers such as OpenAI or Anthropic (i.e. you’ve successfully shipped a product or feature using Claude Code)
• 2+ years of hands-on software development experience, including internships, co-ops, or personal projects with deployed, real-world applications
• Comfortable working with RESTful APIs, MCP servers, and integrating third-party services.
• Scripting language (i.e. Python) proficiency — you can write scripts, build lightweight automations, and debug independently.
• Understanding of prompt engineering best practices.
• Naturally curious and proactive — you seek out problems, propose solutions, and don’t wait to be told what to build next.
• Strong communicator who can work fluidly across business and engineering functions.
• Comfortable with ambiguity — you can scope your own work and adapt as priorities shift.
• Based in or able to work effectively within Eastern Time (EST).

DeepIntent is proud to offer a competitive compensation package inclusive of a base salary range of $105,000 -$120,000. The base salary range takes into consideration each candidates skills, experience and qualifications. In addition, we offer an annualized bonus plan and competitive benefits as well as many other company offerings.

We believe great work starts with great support. That’s why DeepIntent offers a competitive, holistic benefits package designed to empower you both professionally and personally.

Here’s what you can expect when you join our team based in the US: Competitive base salary plus performance based bonus or commission, comprehensive medical, dental, and vision insurance, 401K match program, Unlimited PTO policy and paid holidays, remote friendly culture with flexible work options, career development and advanced education support, WFH and internet stipends, plus many more perks and benefits!

Here’s what you can expect when you join our team based in India: Competitive base salary plus performance based bonus, comprehensive medical insurance, and paid holidays. Hybrid-friendly culture with flexible work options, professional development reimbursement, WiFi reimbursement and health and wellness allowance plus many more perks and benefits!

Here’s what you can expect when you join our team based in Europe: Competitive base salary plus performance-based bonus, comprehensive medical insurance, and flexible PTO. Hybrid-friendly culture with flexible work options, professional development reimbursement, WiFi reimbursement, and parental leave plus many more perks and benefits!

DeepIntent is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together. DeepIntent is an Equal Opportunity Employer, providing equal employment and advancement opportunities to all individuals. We recruit, hire and promote into all job levels the most qualified applicants without regard to race, color, creed, national origin, religion, sex (including pregnancy, childbirth and related medical conditions), parental status, age, disability, genetic information, citizenship status, veteran status, gender identity or expression, transgender status, sexual orientation, marital, family or partnership status, political affiliation or activities, military service, immigration status, or any other status protected under applicable federal, state and local laws. If you have a disability or special need that requires accommodation, please let us know in advance. DeepIntent’s commitment to providing equal employment opportunities extends to all aspects of employment, including job assignment, compensation, discipline and access to benefits and training.

CCPA Notice: If you are a California resident applying for a role at DeepIntent, we may collect personal information as part of the application process in accordance with the California Consumer Privacy Act (CCPA). To learn more about the categories of information we collect and your rights, please contact PeopleOps@deepintent.com to see our full Applicant Privacy Notice.

Company Description

Ramboll is a global architecture, engineering, and consultancy company. As a foundation-owned people company, founded in Denmark, we believe that the purpose of sustainable change is to create a thriving world for both nature and people. So, that’s where we start – and how we work. Our history is rooted in a clear vision of how a responsible company should act and being open and curious is a cornerstone of our culture. Ramboll in the Americas has thousands of experts working across more than 70 offices. Ramboll experts deliver innovative solutions across Environment & Health, Water, Energy, and Planning & Urban Design.

Job Description

Hybrid-based position in our Los Angeles or Irvine, CA office other locations in the US will be considered.

Applicants must be currently authorized to work in the United States on a full-time basis. No sponsorship is available for this position.

Are you excited about building applied AI solutions that improve how consulting teams deliver value? Are you motivated by advancing digital transformation in environmental and climate services? Are you a curious and hands-on data scientist who thrives in ambiguous problem spaces?

Your new role

As our new Senior Data Scientist, you will join the Air & Climate Global Service Line (GSL) Innovation & Digital Transformation (IDT) team to design and deliver applied AI and data-science solutions that accelerate consulting workflows and improve knowledge reuse.

You will be part of a collaborative, innovation-focused team working on prototype-driven solutions that address complex, real-world consulting challenges. This role combines modern AI application development with classical data science, and involves taking ideas from concept through prototype and pilot deployment. You will partner with Digital Product Engineering (DPE) for production readiness and scaling of successful solutions.

Your key responsibilities will be:

• Lead multiple applied AI and data-science efforts from concept through prototype and pilot, prioritizing business impact and adoption
• Design and build AI-enabled solutions, including retrieval-based systems and document-processing workflows, to improve knowledge access and automation
• Apply quantitative methods such as geospatial and time-series analysis to support consulting delivery and strengthen solution rigor
• Develop dashboards and lightweight applications that translate analytical outputs into decision-ready insights for consultants and clients
• Create reusable accelerators and share best practices to enable repeatable and scalable delivery across teams

Qualifications

About you

• Master’s degree in Data Science, Computer Science, Statistics, Engineering, or a related quantitative field (or equivalent experience)
• Demonstrated experience delivering applied data-science or machine-learning solutions in real-world settings
• Strong programming skills in Python for data processing, analysis, and model development
• Experience using version control tools such as Git for collaborative development
• Ability to communicate technical results clearly through visualization and data storytelling

Additional Information

What we can offer you

• Investment in your development
• Being valued for the unique person you are
• Never being short of inspiration from colleagues, clients, and projects
• The long-term thinking of a foundation-owned company

Salary Transparency Statement

At Ramboll, we are committed to fair and transparent compensation practices that support our people and our purpose of creating sustainable societies. The anticipated base salary range for this position is $97,204- $121,500 per year. This range reflects the compensation we reasonably expect to offer at the time of posting. Actual compensation will vary based on factors such as location, skills, experience, education, and internal equity. Because we operate across multiple U.S. markets, pay may differ depending on the cost of labor in specific locations. In addition to base salary, this position may be eligible for bonus, overtime or other forms of compensation and we offer a comprehensive benefits package that supports well-being, professional development, and work-life balance. Our recruiters are happy to share more about the specific salary range and total rewards package applicable to your location during the hiring process.

Ready to join us?

Please submit your application with your up-to-date CV. We invite diversity in all its forms and encourage applicants from all groups to apply.

Thank you for taking the time to apply! We look forward to receiving your application.

Work at the heart of sustainable change with Ramboll in the Americas

Ramboll is a global architecture, engineering, and consultancy company. As a foundation-owned people company, founded in Denmark, we believe that the purpose of sustainable change is to create a thriving world for both nature and people. So, that’s where we start – and how we work. Our history is rooted in a clear vision of how a responsible company should act and being open and curious is a cornerstone of our culture. Ramboll in the Americas has thousands of experts working across more than 70 offices. Ramboll experts deliver innovative solutions across Environment & Health, Water, Energy, and Planning & Urban Design.

Where People Flourish

Our mission is to create sustainable societies where people and nature flourish. This means that a culture of inclusion is embedded in everything we do.  Our people bring diverse backgrounds and experiences to the company, enabling us to deliver innovative and forward-thinking solutions to our clients. We also know how important it is to achieve the right balance of where, when, and how much you work. At Ramboll, we offer flexibility as part of our positive and inclusive approach to work. We are committed to equal employment opportunity, regardless of age, disability or medical condition, gender identity, marriage and domestic partnership, pregnancy and maternity, race, ancestry, or national origin, religion or belief, sex and sexual orientation, military service and veteran status, or any other protected characteristic. Ramboll wants to ensure opportunities are accessible to candidates with disabilities. So, please let us know if there are any changes we could make to the application process to make it more comfortable for you. You can contact us at [email protected] with such requests.

Company Description

Ramboll is a global architecture, engineering, and consultancy company. As a foundation-owned people company, founded in Denmark, we believe that the purpose of sustainable change is to create a thriving world for both nature and people. So, that’s where we start – and how we work. Our history is rooted in a clear vision of how a responsible company should act and being open and curious is a cornerstone of our culture. Ramboll in the Americas has thousands of experts working across more than 70 offices. Ramboll experts deliver innovative solutions across Environment & Health, Water, Energy, and Planning & Urban Design.

Job Description

Hybrid-based position in our Los Angeles or Irvine, CA office other locations in the US will be considered.

Applicants must be currently authorized to work in the United States on a full-time basis. No sponsorship is available for this position.

Are you excited about building applied AI solutions that improve how consulting teams deliver value? Are you motivated by advancing digital transformation in environmental and climate services? Are you a curious and hands-on data scientist who thrives in ambiguous problem spaces?

Your new role

As our new Senior Data Scientist, you will join the Air & Climate Global Service Line (GSL) Innovation & Digital Transformation (IDT) team to design and deliver applied AI and data-science solutions that accelerate consulting workflows and improve knowledge reuse.

You will be part of a collaborative, innovation-focused team working on prototype-driven solutions that address complex, real-world consulting challenges. This role combines modern AI application development with classical data science, and involves taking ideas from concept through prototype and pilot deployment. You will partner with Digital Product Engineering (DPE) for production readiness and scaling of successful solutions.

Your key responsibilities will be:

• Lead multiple applied AI and data-science efforts from concept through prototype and pilot, prioritizing business impact and adoption
• Design and build AI-enabled solutions, including retrieval-based systems and document-processing workflows, to improve knowledge access and automation
• Apply quantitative methods such as geospatial and time-series analysis to support consulting delivery and strengthen solution rigor
• Develop dashboards and lightweight applications that translate analytical outputs into decision-ready insights for consultants and clients
• Create reusable accelerators and share best practices to enable repeatable and scalable delivery across teams

Qualifications

About you

• Master’s degree in Data Science, Computer Science, Statistics, Engineering, or a related quantitative field (or equivalent experience)
• Demonstrated experience delivering applied data-science or machine-learning solutions in real-world settings
• Strong programming skills in Python for data processing, analysis, and model development
• Experience using version control tools such as Git for collaborative development
• Ability to communicate technical results clearly through visualization and data storytelling

Additional Information

What we can offer you

• Investment in your development
• Being valued for the unique person you are
• Never being short of inspiration from colleagues, clients, and projects
• The long-term thinking of a foundation-owned company

Salary Transparency Statement

At Ramboll, we are committed to fair and transparent compensation practices that support our people and our purpose of creating sustainable societies. The anticipated base salary range for this position is $97,204- $121,500per year. This range reflects the compensation we reasonably expect to offer at the time of posting. Actual compensation will vary based on factors such as location, skills, experience, education, and internal equity. Because we operate across multiple U.S. markets, pay may differ depending on the cost of labor in specific locations. In addition to base salary, this position may be eligible for bonus, overtime or other forms of compensation and we offer a comprehensive benefits package that supports well-being, professional development, and work-life balance. Our recruiters are happy to share more about the specific salary range and total rewards package applicable to your location during the hiring process.

Ready to join us?

Please submit your application with your up-to-date CV. We invite diversity in all its forms and encourage applicants from all groups to apply.

Thank you for taking the time to apply! We look forward to receiving your application.

Work at the heart of sustainable change with Ramboll in the Americas

Ramboll is a global architecture, engineering, and consultancy company. As a foundation-owned people company, founded in Denmark, we believe that the purpose of sustainable change is to create a thriving world for both nature and people. So, that’s where we start – and how we work. Our history is rooted in a clear vision of how a responsible company should act and being open and curious is a cornerstone of our culture. Ramboll in the Americas has thousands of experts working across more than 70 offices. Ramboll experts deliver innovative solutions across Environment & Health, Water, Energy, and Planning & Urban Design.

Where People Flourish

Our mission is to create sustainable societies where people and nature flourish. This means that a culture of inclusion is embedded in everything we do.  Our people bring diverse backgrounds and experiences to the company, enabling us to deliver innovative and forward-thinking solutions to our clients. We also know how important it is to achieve the right balance of where, when, and how much you work. At Ramboll, we offer flexibility as part of our positive and inclusive approach to work. We are committed to equal employment opportunity, regardless of age, disability or medical condition, gender identity, marriage and domestic partnership, pregnancy and maternity, race, ancestry, or national origin, religion or belief, sex and sexual orientation, military service and veteran status, or any other protected characteristic. Ramboll wants to ensure opportunities are accessible to candidates with disabilities. So, please let us know if there are any changes we could make to the application process to make it more comfortable for you. You can contact us at [email protected] with such requests.

DeepIntent is leading the healthcare advertising industry with data-driven solutions built for the future. From day one, our mission has been to improve patient outcomes through the artful use of advertising, data science, and real-world clinical data. For more information visit, www.DeepIntent.com.

What You’ll Do:

We are looking for an Applied AI Engineer to embed directly with our US commercial and operational teams building a human and agentic “operating system” that powers how we work as a company. In this role, you will be a builder and a problem-solver — someone who translates day-to-day operational pain points into practical AI agent and automation solutions that free up capacity for higher-value work.

This is an ideal role for someone who is passionate about applied AI, comfortable working across business and technical teams, and excited to see their work make an immediate and measurable impact.

Build & Deploy AI Agents and Automations

• Design, build, and deploy AI agents that automate administrative and repetitive workflows across commercial operations.
• Identify high-value automation opportunities by working directly with stakeholders to map processes and surface inefficiencies.
• Develop solutions using LLMs (e.g., OpenAI, Anthropic Claude), workflow automation tools, RESTful APIs, and Python scripting.
• Prototype, iterate, and ship working solutions quickly — moving from problem to deployed tool with minimal overhead.

Partner with Business Teams

• Serve as the technical point of contact embedded within commercial and PMO teams, building strong working relationships with non-technical stakeholders.
• Translate ambiguous business needs into clear technical requirements and executable solutions.
• Communicate progress, surface blockers, and present solutions in a way that is accessible to both technical and non-technical audiences.

Maintain & Document

• Create and maintain clear technical documentation for all tools, workflows, and integrations you build.
• Monitor deployed solutions and proactively identify opportunities to improve reliability, performance, and adoption.

Who You Are

• Bachelors or Masters degree in Computer Science, Mathematics or Engineering
• Hands-on experience with AI/LLM tools, including configuring and prompting models from providers such as OpenAI or Anthropic (i.e. you’ve successfully shipped a product or feature using Claude Code)
• 2+ years of hands-on software development experience, including internships, co-ops, or personal projects with deployed, real-world applications
• Comfortable working with RESTful APIs, MCP servers, and integrating third-party services.
• Scripting language (i.e. Python) proficiency — you can write scripts, build lightweight automations, and debug independently.
• Understanding of prompt engineering best practices.
• Naturally curious and proactive — you seek out problems, propose solutions, and don’t wait to be told what to build next.
• Strong communicator who can work fluidly across business and engineering functions.
• Comfortable with ambiguity — you can scope your own work and adapt as priorities shift.
• Based in or able to work effectively within Eastern Time (EST).

DeepIntent is proud to offer a competitive compensation package inclusive of a base salary range of $105,000 -$120,000. The base salary range takes into consideration each candidates skills, experience and qualifications. In addition, we offer an annualized bonus plan and competitive benefits as well as many other company offerings.

We believe great work starts with great support. That’s why DeepIntent offers a competitive, holistic benefits package designed to empower you both professionally and personally.

Here’s what you can expect when you join our team based in the US: Competitive base salary plus performance based bonus or commission, comprehensive medical, dental, and vision insurance, 401K match program, Unlimited PTO policy and paid holidays, remote friendly culture with flexible work options, career development and advanced education support, WFH and internet stipends, plus many more perks and benefits!

Here’s what you can expect when you join our team based in India: Competitive base salary plus performance based bonus, comprehensive medical insurance, and paid holidays. Hybrid-friendly culture with flexible work options, professional development reimbursement, WiFi reimbursement and health and wellness allowance plus many more perks and benefits!

Here’s what you can expect when you join our team based in Europe: Competitive base salary plus performance-based bonus, comprehensive medical insurance, and flexible PTO. Hybrid-friendly culture with flexible work options, professional development reimbursement, WiFi reimbursement, and parental leave plus many more perks and benefits!

DeepIntent is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together. DeepIntent is an Equal Opportunity Employer, providing equal employment and advancement opportunities to all individuals. We recruit, hire and promote into all job levels the most qualified applicants without regard to race, color, creed, national origin, religion, sex (including pregnancy, childbirth and related medical conditions), parental status, age, disability, genetic information, citizenship status, veteran status, gender identity or expression, transgender status, sexual orientation, marital, family or partnership status, political affiliation or activities, military service, immigration status, or any other status protected under applicable federal, state and local laws. If you have a disability or special need that requires accommodation, please let us know in advance. DeepIntent’s commitment to providing equal employment opportunities extends to all aspects of employment, including job assignment, compensation, discipline and access to benefits and training.

CCPA Notice: If you are a California resident applying for a role at DeepIntent, we may collect personal information as part of the application process in accordance with the California Consumer Privacy Act (CCPA). To learn more about the categories of information we collect and your rights, please contact PeopleOps@deepintent.com to see our full Applicant Privacy Notice.

DeepIntent is leading the healthcare advertising industry with data-driven solutions built for the future. From day one, our mission has been to improve patient outcomes through the artful use of advertising, data science, and real-world clinical data. For more information visit, www.DeepIntent.com.

What You’ll Do:

We are looking for an Applied AI Engineer to embed directly with our US commercial and operational teams building a human and agentic “operating system” that powers how we work as a company. In this role, you will be a builder and a problem-solver — someone who translates day-to-day operational pain points into practical AI agent and automation solutions that free up capacity for higher-value work.

This is an ideal role for someone who is passionate about applied AI, comfortable working across business and technical teams, and excited to see their work make an immediate and measurable impact.

Build & Deploy AI Agents and Automations

• Design, build, and deploy AI agents that automate administrative and repetitive workflows across commercial operations.
• Identify high-value automation opportunities by working directly with stakeholders to map processes and surface inefficiencies.
• Develop solutions using LLMs (e.g., OpenAI, Anthropic Claude), workflow automation tools, RESTful APIs, and Python scripting.
• Prototype, iterate, and ship working solutions quickly — moving from problem to deployed tool with minimal overhead.

Partner with Business Teams

• Serve as the technical point of contact embedded within commercial and PMO teams, building strong working relationships with non-technical stakeholders.
• Translate ambiguous business needs into clear technical requirements and executable solutions.
• Communicate progress, surface blockers, and present solutions in a way that is accessible to both technical and non-technical audiences.

Maintain & Document

• Create and maintain clear technical documentation for all tools, workflows, and integrations you build.
• Monitor deployed solutions and proactively identify opportunities to improve reliability, performance, and adoption.

Who You Are

• Bachelors or Masters degree in Computer Science, Mathematics or Engineering
• Hands-on experience with AI/LLM tools, including configuring and prompting models from providers such as OpenAI or Anthropic (i.e. you’ve successfully shipped a product or feature using Claude Code)
• 2+ years of hands-on software development experience, including internships, co-ops, or personal projects with deployed, real-world applications
• Comfortable working with RESTful APIs, MCP servers, and integrating third-party services.
• Scripting language (i.e. Python) proficiency — you can write scripts, build lightweight automations, and debug independently.
• Understanding of prompt engineering best practices.
• Naturally curious and proactive — you seek out problems, propose solutions, and don’t wait to be told what to build next.
• Strong communicator who can work fluidly across business and engineering functions.
• Comfortable with ambiguity — you can scope your own work and adapt as priorities shift.
• Based in or able to work effectively within Eastern Time (EST).

DeepIntent is proud to offer a competitive compensation package inclusive of a base salary range of $105,000 -$120,000. The base salary range takes into consideration each candidates skills, experience and qualifications. In addition, we offer an annualized bonus plan and competitive benefits as well as many other company offerings.

We believe great work starts with great support. That’s why DeepIntent offers a competitive, holistic benefits package designed to empower you both professionally and personally.

Here’s what you can expect when you join our team based in the US: Competitive base salary plus performance based bonus or commission, comprehensive medical, dental, and vision insurance, 401K match program, Unlimited PTO policy and paid holidays, remote friendly culture with flexible work options, career development and advanced education support, WFH and internet stipends, plus many more perks and benefits!

Here’s what you can expect when you join our team based in India: Competitive base salary plus performance based bonus, comprehensive medical insurance, and paid holidays. Hybrid-friendly culture with flexible work options, professional development reimbursement, WiFi reimbursement and health and wellness allowance plus many more perks and benefits!

Here’s what you can expect when you join our team based in Europe: Competitive base salary plus performance-based bonus, comprehensive medical insurance, and flexible PTO. Hybrid-friendly culture with flexible work options, professional development reimbursement, WiFi reimbursement, and parental leave plus many more perks and benefits!

DeepIntent is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together. DeepIntent is an Equal Opportunity Employer, providing equal employment and advancement opportunities to all individuals. We recruit, hire and promote into all job levels the most qualified applicants without regard to race, color, creed, national origin, religion, sex (including pregnancy, childbirth and related medical conditions), parental status, age, disability, genetic information, citizenship status, veteran status, gender identity or expression, transgender status, sexual orientation, marital, family or partnership status, political affiliation or activities, military service, immigration status, or any other status protected under applicable federal, state and local laws. If you have a disability or special need that requires accommodation, please let us know in advance. DeepIntent’s commitment to providing equal employment opportunities extends to all aspects of employment, including job assignment, compensation, discipline and access to benefits and training.

CCPA Notice: If you are a California resident applying for a role at DeepIntent, we may collect personal information as part of the application process in accordance with the California Consumer Privacy Act (CCPA). To learn more about the categories of information we collect and your rights, please contact PeopleOps@deepintent.com to see our full Applicant Privacy Notice.

Company

A1 is building a proactive AI smart assistant for everyday users to bring intelligence to conversations, errands, organising and workflows.

Our product focuses on achieving high reliability for long-running workflows, persistent context, and real-world task completion. The system must handle multi-step reasoning, interact with external tools, and remain reliable despite non-deterministic model behavior.

Role

As an Applied AI Engineer, you will turn model capabilities into real product behavior. You will own problems end-to-end, from shaping model behavior, to building the systems around it, to ensuring it performs reliably in production.

This role sits at the intersection of machine learning, systems, and product, focusing on making AI actually work for users, not just in demos, but in real-world usage.

 

Focus

• Build and ship AI features end-to-end (model → system → user experience)

• Design and iterate on prompts, tools, memory, and agent workflows

• Turn raw model outputs into structured, reliable, and predictable behaviors

• Debug issues across the full stack (model, orchestration, infra, UX)

• Optimize for latency, cost, and production reliability

• Develop lightweight evaluation frameworks to measure real-world performance

• Work closely with product and engineering to translate ambiguous problems into working systems

 

Tech Stack

• Python

• PyTorch / JAX

• LLMs (OpenAI-style APIs, LLaMA, Qwen, etc.)

• Inference / serving (e.g. vLLM)

• Vector DB

 

Ideal Experience

• Strong foundation in machine learning and modern neural network architectures.

• Hands-on experience with training, fine-tuning, or deploying ML models

• Ability to write clean, production-quality code

• Comfort working across abstraction layers (model → infra → product)

• Strong problem-solving skills in ambiguous, fast-moving environments

• Bias toward shipping, iteration, and continuous improvement

 

Outcomes

• ML models in production meet expected accuracy, latency, and reliability targets.

• Production issues are identified quickly, debugged effectively, and root causes addressed.

• Data pipelines, training loops, and inference systems are robust, reproducible, and maintainable.

• Collaborates effectively with engineers, product, and research teams to deliver reliable ML-powered features.

• Iterations on models and systems are driven by real-world signals and measurable improvements.

 

How We Work

The best products today in the world were built by small, world class teams. We make decisions collectively, move at rapid speed, striking a balance between shipping high quality work and learning. Joining our team requires the ability to bring structure, exercise judgment, and execute independently. Our goal is to put in hands of our users a truly magical AI product.

 

Interview process

If there appears to be a fit, we'll reach to schedule 3, but no more than 4 interviews.

Applications are evaluated by our technical team members. Interviews will be conducted via virtual meetings and/or onsite.

We value transparency and efficiency, so expect a prompt decision. If you've demonstrated the exceptional skills and mindset we're looking for, we'll extend an offer to join us. This isn't just a job offer; it's an invitation to be part of a team that's bringing AI to have practical benefits to billions globally.

We’re hiring an AI Video Creator to produce high-quality short- and long-form video using a modern generative AI stack.

Aledade’s AI Enablement team enables, educates, and supports the Product, Tech, and Analytics (PTA) organization in adopting developer-centric AI tools (Claude Code, MCP, plugins, skills, hooks). The Forward-Deployed Engineer (FDE) embeds directly with a PTA cohort — Point of Care, Risk, Data, or another team — to unblock AI adoption on the ground: shipping plugins and skills tailored to that team’s workflows, integrating their tools through the MCP Gateway, and turning hard-won lessons into reusable patterns for the broader platform. This is the role for engineers who think like internal consultants: meet teams where they are, build what they need today, and feed durable wins back into the marketplace and installer that the rest of Aledade depends on.

Primary Duties:

• Embed with a PTA cohort and ship targeted enablement. Pair with engineers, PMs, and analysts on the assigned team; build plugins, skills, hooks, and connectors that solve their highest-friction workflows; measure adoption and impact.

• Productize wins into the platform. Generalize cohort-specific work into reusable plugins, skill templates, and patterns published to the Claude Code Plugin Marketplace; document authorship guides; reduce the activation cost for the next cohort.

• Integrate new tools through the MCP Gateway + AWS connector layer. Add and harden MCP server integrations (Glean, Slack, Jira, Snowflake, Salesforce, Databricks, etc.) to the gateway; partner with security and platform owners on auth/scopes/observability.

• Feed back to the platform team and AI Unlock program. Contribute to roadmap and quarterly milestones; participate in office hours and brownbags as a practitioner; surface blockers (security, BAA, cost, throttling) early.

• Support adoption health. Help close the long tail of repos with no .claude/ config; mentor cohort engineers on agentic-coding patterns; on-call rotation for marketplace-published artifacts.

Minimum Qualifications:

• BS/BTech (or higher) in Computer Science, Engineering or a related field.

• 5+ years professional software engineering experience

• Production experience with at least one modern application stack (Python, TypeScript/Node, Go, or similar) and modern CI/CD.

• Demonstrated ability to ship end-to-end in unfamiliar codebases — e.g., consulting, forward-deployed, solutions, or platform-adjacent backgrounds.

• Direct hands-on experience with one or more agentic coding tools in a production or near-production setting (Claude Code, Cursor, Cody, Copilot agents, Aider, or equivalent).

• Strong written communication: comfortable producing documentation, runbooks, and educational artifacts for engineers who weren’t in the room.

Preferred KSA’s:

• Experience authoring or maintaining MCP (Model Context Protocol) servers, Claude Code plugins, skills, hooks, or comparable LLM-tooling integrations.

• Background in healthcare technology, HIPAA-regulated environments, or PHI-handling systems.

• Prior FDE / customer-facing engineering / solutions architect / TPM-with-IC-chops experience.

• Familiarity with Aledade’s stack (Python/FastAPI, Vue/TypeScript, Postgres, AWS, Auth0, Datadog, Sumo Logic) is a plus but not required.

• Experience integrating tools through API gateways, OAuth/M2M flows, or service meshes.

• Comfort across the full stack (frontend/backend/infra) — FDE work doesn’t honor team boundaries.

Physical Requirements:

Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required.

We may use automated tools, including artificial intelligence (AI), to help organize and evaluate application materials. These tools support our recruiters and hiring managers by helping manage large applicant pools. Human judgment plays an essential role in our hiring process, including in the oversight and use of any automated tools. If you would like more information about our screening and hiring process, please contact us.

Aledade’s AI Enablement team enables, educates, and supports the Product, Tech, and Analytics (PTA) organization in adopting developer-centric AI tools (Claude Code, MCP, plugins, skills, hooks). The Forward-Deployed Engineer (FDE) embeds directly with a PTA cohort — Point of Care, Risk, Data, or another team — to unblock AI adoption on the ground: shipping plugins and skills tailored to that team’s workflows, integrating their tools through the MCP Gateway, and turning hard-won lessons into reusable patterns for the broader platform. This is the role for engineers who think like internal consultants: meet teams where they are, build what they need today, and feed durable wins back into the marketplace and installer that the rest of Aledade depends on.

Primary Duties:

• Embed with a PTA cohort and ship targeted enablement. Pair with engineers, PMs, and analysts on the assigned team; build plugins, skills, hooks, and connectors that solve their highest-friction workflows; measure adoption and impact.

• Productize wins into the platform. Generalize cohort-specific work into reusable plugins, skill templates, and patterns published to the Claude Code Plugin Marketplace; document authorship guides; reduce the activation cost for the next cohort.

• Integrate new tools through the MCP Gateway + AWS connector layer. Add and harden MCP server integrations (Glean, Slack, Jira, Snowflake, Salesforce, Databricks, etc.) to the gateway; partner with security and platform owners on auth/scopes/observability.

• Feed back to the platform team and AI Unlock program. Contribute to roadmap and quarterly milestones; participate in office hours and brownbags as a practitioner; surface blockers (security, BAA, cost, throttling) early.

• Support adoption health. Help close the long tail of repos with no .claude/ config; mentor cohort engineers on agentic-coding patterns; on-call rotation for marketplace-published artifacts.

Minimum Qualifications:

• BS/BTech (or higher) in Computer Science, Engineering or a related field.

• 3+ years professional software engineering experience

• Production experience with at least one modern application stack (Python, TypeScript/Node, Go, or similar) and modern CI/CD.

• Demonstrated ability to ship end-to-end in unfamiliar codebases — e.g., consulting, forward-deployed, solutions, or platform-adjacent backgrounds.

• Direct hands-on experience with one or more agentic coding tools in a production or near-production setting (Claude Code, Cursor, Cody, Copilot agents, Aider, or equivalent).

• Strong written communication: comfortable producing documentation, runbooks, and educational artifacts for engineers who weren’t in the room.

Preferred KSA’s:

• Experience authoring or maintaining MCP (Model Context Protocol) servers, Claude Code plugins, skills, hooks, or comparable LLM-tooling integrations.

• Background in healthcare technology, HIPAA-regulated environments, or PHI-handling systems.

• Prior FDE / customer-facing engineering / solutions architect / TPM-with-IC-chops experience.

• Familiarity with Aledade’s stack (Python/FastAPI, Vue/TypeScript, Postgres, AWS, Auth0, Datadog, Sumo Logic) is a plus but not required.

• Experience integrating tools through API gateways, OAuth/M2M flows, or service meshes.

• Comfort across the full stack (frontend/backend/infra) — FDE work doesn’t honor team boundaries.

Physical Requirements:

Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required.

We may use automated tools, including artificial intelligence (AI), to help organize and evaluate application materials. These tools support our recruiters and hiring managers by helping manage large applicant pools. Human judgment plays an essential role in our hiring process, including in the oversight and use of any automated tools. If you would like more information about our screening and hiring process, please contact us.

Location: London

Office requirement: 2 days in the office - Significant travel required

Employment type: Permanent

Seniority level: Principal

At GWI we’re always looking for extraordinary people who thrive on making an extraordinary impact. Right now we’re looking for an Forward Deployed Engineer to play a key role in our Solutions Consultants Team in London. If that’s you, and making a difference gets you out of bed in the morning, keep reading. It could be the start of something, well, extraordinary.

Sounds great, what will I be doing? 🤔

As our Lead / Principal Forward Deployed Engineer you’ll be embedded directly with our most strategic accounts, owning the end-to-end technical deployment of our agentic AI platform. This isn’t a support role, and it isn’t a solutions consultant with a fancy title — you’ll write production code, own technical outcomes, and be the reason our biggest customers succeed and expand. You’ll operate with the autonomy of a founding engineer and the commercial instinct of a GTM leader.

A few things you’ll be responsible for:

👉 Embed with our Tier 1 enterprise accounts and own end-to-end deployments of our agentic AI platform — from discovery through to production, including bespoke integrations, data pipelines, and workflow automations.

👉 Lead AI agents into production in complex environments (legacy systems, security, compliance), turning cutting-edge capability into measurable business outcomes.

👉 Partner with Enterprise AEs in late-stage sales cycles — leading proof-of-concept builds and assessing technical readiness to de-risk and accelerate the close.

👉 Surface patterns from the field and feed them back to product and engineering, acting as the bridge between customer reality and roadmap.

👉 Build out the FDE practice as it scales: repeatable deployment playbooks, success metrics, and mentoring mid-level FDEs.

It’s also fun; shaking things up is what working for GWI is all about. You’ll need to be flexible, comfortable with continuous change, and working in a high-tempo environment.

What do I need to bring with me? 🧳

You’ll need to be able to demonstrate the core skills this role requires. You don’t have to tick all the boxes right away; the important thing is that you’re willing to learn.

Here’s what the team will be looking for in you:

👉 Significant experience in software engineering, solutions engineering, or a customer-facing technical role — with meaningful time spent shipping production code in complex enterprise environments.

👉 Demonstrable experience deploying AI or data-heavy products into large organisations — real production deployments, not just POCs.

👉 Strong full-stack or backend engineering fundamentals: Python essential, plus comfort across APIs, SQL, cloud infrastructure (AWS/GCP/Azure), and data pipelines.

👉 The ability to work through ambiguity and turn it into a concrete technical plan.

👉 Clear communication across technical and business audiences — you can tailor the same idea for an engineering lead and a commercial stakeholder.

👉 Willingness to travel to client sites across the UK and Europe (approximately 30–50% of the time).

Nice to have:

👉 Hands-on experience with LLM deployment, AI agents, or agentic workflow automation.

👉 A background in a high-growth B2B SaaS or AI-native company.

👉 Experience in one or more of GWI’s core verticals: financial services, media & agencies, consumer goods, or technology.

👉 Prior experience in an FDE, solutions architect, or technical account management function at a company with a named-account enterprise motion.

Equally important is attitude. We want people who think big (to make an impact), ask why (to find a better way), and show respect (to everyone, at every level, all the time). Those are our values, and they’re a big part of what we’re looking for in you.

What’s in it for me? 🎁

At GWI, you’ll find meaningful work, visible impact, and a culture that empowers you to do your best. Our package includes:

🌴 Time to recharge – 25 days’ annual leave, plus office closures over the holidays.

🧘 Health & wellbeing – Health cash plan, enhanced family benefits, carer days, and mental health support.

💸 Financial benefits – Competitive salary, 4% pension matching, and recognition programs that celebrate success.

🏡 Flexibility & balance – Flexitime, early Friday finishes, hybrid and remote options, plus a “work from home” budget.

💪 Career growth – Accredited learning, leadership development, and global career mobility.

🌎 Community & impact – DE&I initiatives, volunteering opportunities, donation matching, and payroll giving.

Put all that together and GWI is the friendliest, most fulfilling place any of us has ever worked.

Diversity, Equity & Inclusion

Diversity is fundamental to who we are—both as a data company and as a workplace. Our data reflects global realities, and so must our teams. We strive to ensure our workforce is as diverse and inclusive as the insights we provide to our clients.

As a Disability Confident employer, we welcome applications from disabled candidates and are committed to providing all necessary adjustments during the hiring process. We also actively encourage applications from underrepresented and marginalized communities.

At GWI, you will find a place where you can contribute meaningfully, grow professionally, and belong fully.

#li-hybrid

#LI-NIKOSSS1

Aledade’s AI Enablement team enables, educates, and supports the Product, Tech, and Analytics (PTA) organization in adopting developer-centric AI tools (Claude Code, MCP, plugins, skills, hooks). The Forward-Deployed Engineer (FDE) embeds directly with a PTA cohort — Point of Care, Risk, Data, or another team — to unblock AI adoption on the ground: shipping plugins and skills tailored to that team’s workflows, integrating their tools through the MCP Gateway, and turning hard-won lessons into reusable patterns for the broader platform. This is the role for engineers who think like internal consultants: meet teams where they are, build what they need today, and feed durable wins back into the marketplace and installer that the rest of Aledade depends on.

Primary Duties:

• Embed with a PTA cohort and ship targeted enablement. Pair with engineers, PMs, and analysts on the assigned team; build plugins, skills, hooks, and connectors that solve their highest-friction workflows; measure adoption and impact.

• Productize wins into the platform. Generalize cohort-specific work into reusable plugins, skill templates, and patterns published to the Claude Code Plugin Marketplace; document authorship guides; reduce the activation cost for the next cohort.

• Integrate new tools through the MCP Gateway + AWS connector layer. Add and harden MCP server integrations (Glean, Slack, Jira, Snowflake, Salesforce, Databricks, etc.) to the gateway; partner with security and platform owners on auth/scopes/observability.

• Feed back to the platform team and AI Unlock program. Contribute to roadmap and quarterly milestones; participate in office hours and brownbags as a practitioner; surface blockers (security, BAA, cost, throttling) early.

• Support adoption health. Help close the long tail of repos with no .claude/ config; mentor cohort engineers on agentic-coding patterns; on-call rotation for marketplace-published artifacts.

Minimum Qualifications:

• BS/BTech (or higher) in Computer Science, Engineering or a related field.

• 3+ years professional software engineering experience

• Production experience with at least one modern application stack (Python, TypeScript/Node, Go, or similar) and modern CI/CD.

• Demonstrated ability to ship end-to-end in unfamiliar codebases — e.g., consulting, forward-deployed, solutions, or platform-adjacent backgrounds.

• Direct hands-on experience with one or more agentic coding tools in a production or near-production setting (Claude Code, Cursor, Cody, Copilot agents, Aider, or equivalent).

• Strong written communication: comfortable producing documentation, runbooks, and educational artifacts for engineers who weren’t in the room.

Preferred KSA’s:

• Experience authoring or maintaining MCP (Model Context Protocol) servers, Claude Code plugins, skills, hooks, or comparable LLM-tooling integrations.

• Background in healthcare technology, HIPAA-regulated environments, or PHI-handling systems.

• Prior FDE / customer-facing engineering / solutions architect / TPM-with-IC-chops experience.

• Familiarity with Aledade’s stack (Python/FastAPI, Vue/TypeScript, Postgres, AWS, Auth0, Datadog, Sumo Logic) is a plus but not required.

• Experience integrating tools through API gateways, OAuth/M2M flows, or service meshes.

• Comfort across the full stack (frontend/backend/infra) — FDE work doesn’t honor team boundaries.

Physical Requirements:

Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required.

We may use automated tools, including artificial intelligence (AI), to help organize and evaluate application materials. These tools support our recruiters and hiring managers by helping manage large applicant pools. Human judgment plays an essential role in our hiring process, including in the oversight and use of any automated tools. If you would like more information about our screening and hiring process, please contact us.

The Mission

We are a trucking compliance business started in 1973. In the last 4 years we’ve successfully transitioned from DOS systems and dot matrix printers to streamlined processes and web-based systems using contract developers and our own technical abilities. About 18 months ago, the owner started vibing with Replit Agent and Claude Code to ship internal tools, integrations, and web applications across our brands. While that’s been fruitful as a proof-of-concept, the business owner is currently the primary builder, which is a terrible spot for a business owner to be.

We are looking for our first technical hire. A senior-level Full-Stack Developer who wants to get into the weeds and ship some cool internal systems and external services. We need a "Builder-in-Chief" to own the entire product lifecycle. You’ll embed with the client service team to identify friction points, help design the solution, and direct AI agents to execute the build. We’ll make sure you have the tools and an environment to do your best work.

The Stack & Your Technical Role

You won't be writing every line of code by hand, but you must be a master of the craft to validate, refactor, and secure what the AI produces. Because of our “just go with it” strategy, our stack has gotten wide. We’d like you to help us shape the stack going forward using your expertise. Our ecosystem currently includes:

• Core Apps: Ruby on Rails (our primary fuel tax app, FM22), Laravel (authority filings), and Express/React (Authority work order management). 
• Data & Infra: PostgreSQL, a variety of hosts (Render, DigitalOcean, etc), and various no-code/low-code integrations (Airtable, Zapier, Make).
• Agent Orchestration: You will leverage the 3C’s: Claude, Cursor, and Codex to ship features while maintaining high code quality through rigorous review.

Core Responsibilities

• Operational Deep-Dives: You won't be bogged down writing lengthy requirements documents; your focus is on understanding the work. You will embed with our compliance teams (IFTA reporting, IRP Renewals, FMCSA Operating Authority) to find the friction. That means faster, more informed building and ensures we ship the right, “wow” features for the team.
• Build with incremental ambition: We’re often better off with a shipped feature this week than we are waiting around for the perfect solution. Work with the team to find where it creates value and delight.
• System Design: Collaborate with our part-time architect to design robust data models, scalable approaches, and API integrations (e.g., integrating third-party ELD normalization platforms like Terminal).
• Design “Not-Too-Shabby” Frontends: It’s 2026, there’s no reason to ship an ugly UI or a poor user experience. Maybe the UI won’t win any awards for novelty, but it’ll be high on usability and will be easy on our middle-aged eyes.
• Testing & Deployment: Own the testing suite. You are responsible for ensuring that AI-generated code is maintainable and solves the business problem before it hits production.
• Technical Documentation: Ensure we have high quality and current technical documentation so enhancements, fixes, and maintenance are efficient. 

About You

• You have a track record of shipping production-grade software (not just prototypes).
• You would rather sit down and watch someone work than ask a series of academic questions
• You’ve developed deep domain knowledge in the past
• You are “stack-agnostic”. You should be comfortable moving between Rails, Laravel, and Python depending on the tool needed for the job, even if you have a preference for one over the other.
• You have a tinkerer mindset and a bias toward shipping, but with the discipline to keep our core data safe.

We're a small company building real systems that help keep thousands of trucks on the road every day. If you're the kind of person who's energized by ownership, solving problems, and seeing the direct impact of what you build, we'd like to hear from you.

Role OverviewWe are looking for an AI & Innovation Analyst to build software automations to help teams at BibliU reduce their manual work & improve their productivity.

Company Description

Version 1 has celebrated 30 years in business and continues to be trusted by global brands to deliver technology and transformation solutions that drive customer success. Our deep expertise enables our customers to navigate the rapidly evolving technology landscape. We foster strong partnerships with global technology leaders including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services.

We’re an award-winning employer reflecting how our employees are at the very heart of  what we do:

• UK & Ireland’s premier AWS, Microsoft & Oracle partner
• 3300+ strong, €350/£300m revenue business
• 10+ years as a Great Place to Work in Ireland & UK
• Best Workplace for Women in the UK & Ireland by GPTW
• Best Workplace for Wellbeing in the UK by GPTW
• We’re a core values driven company, we hire people who share our values, and we reward those who display and foster them, it’s deeply embedded within our DNA. Invest in us and we’ll invest in you.

Job Description

Overview

As an AI Technical Lead / Architect focused on Generative and Agentic AI, you will architect, design, and lead the delivery of production-ready, enterprise-grade AI systems. You will take ideas from early experimentation and prototypes through scalable, secure, and reliable AI solutions used by real customers and internal users.

The role focuses on building intelligent, agent-based systems that can reason, plan, integrate with tools, and make autonomous decisions at enterprise scale.

Strong engineering mindset with end-to-end ownership, experience delivering real-world AI solutions at enterprise scale, and ability to mentor and influence across teams.

Key Responsibilities

Technical Leadership & Architecture

• Provide technical leadership and architecture for Generative and Agentic AI initiatives
•  Design end-to-end AI system architectures covering orchestration, data, APIs, security, and deployment
• Build LLM-based solutions using RAG, embeddings, prompt engineering, function calling, and agentic workflows
• Ensure production readiness including CI/CD, testing, observability, scalability, security, and cost optimization
• Mentor AI engineers and collaborate with business and technology stakeholders

Generative & Agentic AI Engineering

• Design and build LLM-based systems using techniques such as:
•  Retrieval Augmented Generation (RAG)
•  Embeddings and vector search
• Prompt engineering and prompt optimization
• Function calling and tool usage
• Agentic and multi-agent workflows
• Build AI systems that integrate LLMs with APIs, data platforms, enterprise applications, and workflow engines
• Apply modern AI evaluation approaches including automated testing, benchmarking, and qualitative + quantitative LLM evaluation

Engineering Exc ellence & Operations

• · Apply strong software engineering and distributed systems principles to AI development
• · Design for observability, including logging, metrics, tracing, alerts, and model performance monitoring
• · Diagnose and resolve production issues related to latency, reliability, data quality, and model behavior
• · Balance innovation speed with operational excellence and long-term maintainability

Collaboration, Enablement & Mentorship

• · Work closely with business stakeholders to translate real-world problems into AI-driven solutions
• · Partner with AI engineers, data scientists, and platform teams to scale delivery
• · Mentor and coach engineers on Generative AI, Agentic AI, and cloud-native best practices
• · Support low-code and Copilot/Flow-style solutions where appropriate, while ensuring architectural integrity

Qualifications

• Bachelor’s or master’s degree in computer science, Engineering, or a related field.

• 10+ years of experience in software engineering

Programming & Engineering

•  Python
•  REST APIs
•  CI/CD pipelines
•  Automated testing
•  Distributed systems design
• Generative & Agentic AI
•  Generative AI and LLM-based systems
• Agentic and multi-agent workflows
• Retrieval Augmented Generation (RAG)
• Embeddings and vector databases
• Prompt engineering and prompt optimization
•  LLM evaluation and testing strategies

· Cloud & AI Platforms

• Azure OpenAI
• Azure AI Services
•  AWS Bedrock
• Amazon SageMaker

· Production & Operations

• Observability (logs, metrics, tracing, alerts)
• Monitoring and reliability engineering
• Performance tuning and cost optimization

Additional Information

Why Version 1?

At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their wellbeing, professional growth, and financial stability.

• Share in our success with our Quarterly Performance-Related Profit Share Scheme, where employees collectively benefit from a share of our company’s profits
• Strong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programme
• Flexible/remote working, Version 1 is tremendously understanding of life events and people’s individual circumstances and offer flexibility to help achieve a healthy work life balance
• Financial Wellbeing initiatives including; Pension, Private Healthcare Cover, Life Assurance, Financial advice and an Employee Discount scheme
• Employee Wellbeing schemes including Gym Discounts, Bike to Work, Fitness classes, Mindfulness Workshops, Employee Assistance Programme and much more. Generous holiday allowance, enhanced maternity/paternity leave, marriage/civil partnership leave and special leave policies
• Educational assistance, incentivised certifications, and accreditations, including AWS, Microsoft, Oracle, and Red Hat
• Reward schemes including Version 1’s Annual Excellence Awards & ‘Call-Out’ platform.
• Environment, Social and Community First initiatives allow you to get involved in local fundraising and development opportunities as part of fostering our diversity, inclusion and belonging schemes.

And many more exciting benefits… drop us a note to find out more.

Version 1 is an equal opportunities employer.

We are committed to building a diverse, inclusive and respectful workplace where everyone feels valued and able to thrive. We welcome applications from people of all backgrounds, identities and lived experiences, and we value the different perspectives people bring.

We want every candidate to have a positive and accessible recruitment experience. If you need reasonable adjustments at any stage of the process, please contact [recruiter email address][EM1]  at Version 1. We will consider all requests carefully, respectfully and confidentially.Video links:

https://www.youtube.com/watch?v=F_d3ELTH5zo

[EM1]Please add the email address for the lead recruiter

Company Description

Version 1 has celebrated 30 years in business and continues to be trusted by global brands to deliver technology and transformation solutions that drive customer success. Our deep expertise enables our customers to navigate the rapidly evolving technology landscape. We foster strong partnerships with global technology leaders including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services.

We’re an award-winning employer reflecting how our employees are at the very heart of  what we do:

• UK & Ireland’s premier AWS, Microsoft & Oracle partner
• 3300+ strong, €350/£300m revenue business
• 10+ years as a Great Place to Work in Ireland & UK
• Best Workplace for Women in the UK & Ireland by GPTW
• Best Workplace for Wellbeing in the UK by GPTW
• We’re a core values driven company, we hire people who share our values, and we reward those who display and foster them, it’s deeply embedded within our DNA. Invest in us and we’ll invest in you.

Job Description

Overview

As an AI Technical Lead / Architect focused on Generative and Agentic AI, you will architect, design, and lead the delivery of production-ready, enterprise-grade AI systems. You will take ideas from early experimentation and prototypes through scalable, secure, and reliable AI solutions used by real customers and internal users.

The role focuses on building intelligent, agent-based systems that can reason, plan, integrate with tools, and make autonomous decisions at enterprise scale.

Strong engineering mindset with end-to-end ownership, experience delivering real-world AI solutions at enterprise scale, and ability to mentor and influence across teams.

Key Responsibilities

Technical Leadership & Architecture

• Provide technical leadership and architecture for Generative and Agentic AI initiatives
•  Design end-to-end AI system architectures covering orchestration, data, APIs, security, and deployment
• Build LLM-based solutions using RAG, embeddings, prompt engineering, function calling, and agentic workflows
• Ensure production readiness including CI/CD, testing, observability, scalability, security, and cost optimization
• Mentor AI engineers and collaborate with business and technology stakeholders

Generative & Agentic AI Engineering

• Design and build LLM-based systems using techniques such as:
•  Retrieval Augmented Generation (RAG)
•  Embeddings and vector search
• Prompt engineering and prompt optimization
• Function calling and tool usage
• Agentic and multi-agent workflows
• Build AI systems that integrate LLMs with APIs, data platforms, enterprise applications, and workflow engines
• Apply modern AI evaluation approaches including automated testing, benchmarking, and qualitative + quantitative LLM evaluation

Engineering Exc ellence & Operations

• · Apply strong software engineering and distributed systems principles to AI development
• · Design for observability, including logging, metrics, tracing, alerts, and model performance monitoring
• · Diagnose and resolve production issues related to latency, reliability, data quality, and model behavior
• · Balance innovation speed with operational excellence and long-term maintainability

Collaboration, Enablement & Mentorship

• · Work closely with business stakeholders to translate real-world problems into AI-driven solutions
• · Partner with AI engineers, data scientists, and platform teams to scale delivery
• · Mentor and coach engineers on Generative AI, Agentic AI, and cloud-native best practices
• · Support low-code and Copilot/Flow-style solutions where appropriate, while ensuring architectural integrity

Qualifications

• Bachelor’s or master’s degree in computer science, Engineering, or a related field.

• 10+ years of experience in software engineering

Programming & Engineering

•  Python
•  REST APIs
•  CI/CD pipelines
•  Automated testing
•  Distributed systems design
• Generative & Agentic AI
•  Generative AI and LLM-based systems
• Agentic and multi-agent workflows
• Retrieval Augmented Generation (RAG)
• Embeddings and vector databases
• Prompt engineering and prompt optimization
•  LLM evaluation and testing strategies

· Cloud & AI Platforms

• Azure OpenAI
• Azure AI Services
•  AWS Bedrock
• Amazon SageMaker

· Production & Operations

• Observability (logs, metrics, tracing, alerts)
• Monitoring and reliability engineering
• Performance tuning and cost optimization

Additional Information

Why Version 1?

At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their wellbeing, professional growth, and financial stability.

• Share in our success with our Quarterly Performance-Related Profit Share Scheme, where employees collectively benefit from a share of our company’s profits
• Strong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programme
• Flexible/remote working, Version 1 is tremendously understanding of life events and people’s individual circumstances and offer flexibility to help achieve a healthy work life balance
• Financial Wellbeing initiatives including; Pension, Private Healthcare Cover, Life Assurance, Financial advice and an Employee Discount scheme
• Employee Wellbeing schemes including Gym Discounts, Bike to Work, Fitness classes, Mindfulness Workshops, Employee Assistance Programme and much more. Generous holiday allowance, enhanced maternity/paternity leave, marriage/civil partnership leave and special leave policies
• Educational assistance, incentivised certifications, and accreditations, including AWS, Microsoft, Oracle, and Red Hat
• Reward schemes including Version 1’s Annual Excellence Awards & ‘Call-Out’ platform.
• Environment, Social and Community First initiatives allow you to get involved in local fundraising and development opportunities as part of fostering our diversity, inclusion and belonging schemes.

And many more exciting benefits… drop us a note to find out more.

Version 1 is an equal opportunities employer.

We are committed to building a diverse, inclusive and respectful workplace where everyone feels valued and able to thrive. We welcome applications from people of all backgrounds, identities and lived experiences, and we value the different perspectives people bring.

We want every candidate to have a positive and accessible recruitment experience. If you need reasonable adjustments at any stage of the process, please contact [recruiter email address][EM1]  at Version 1. We will consider all requests carefully, respectfully and confidentially.Video links:

https://www.youtube.com/watch?v=F_d3ELTH5zo

[EM1]Please add the email address for the lead recruiter

Why NeuraFlash, Part of Accenture:

At NeuraFlash, Part of Accenture, we are redefining the future of business through the power of AI and groundbreaking technologies like Agentforce. As a trusted leader in AI, Amazon, and Salesforce innovation, we craft intelligent solutions—integrating Salesforce Einstein, Service Cloud Voice, Amazon Connect, Agentforce and more—to revolutionize workflows, elevate customer experiences, and deliver tangible results. From conversational AI to predictive analytics, we empower organizations to stay ahead in an ever-evolving digital landscape with cutting-edge, tailored strategies.

We are proud to be creating the future of generative AI and AI agents. Salesforce has launched Agentforce, and NeuraFlash, Part of Accenture, was selected as the only partner for the private beta prior to launch. Post-launch, we’ve earned the distinction of being Salesforce’s #1 partner for Agentforce, reinforcing our role as pioneers in this transformative space.

Be part of the NeuraFlash, Part of Accenture journey and help shape the next wave of AI-powered transformation. Here, you’ll collaborate with trailblazing experts who are passionate about pushing boundaries and leveraging technologies like Agentforce to create impactful customer outcomes. Whether you’re developing advanced AI-powered bots, streamlining business operations, or building solutions using the latest generative AI technologies, your work will drive innovation at scale. If you’re ready to make your mark in the AI space, NeuraFlash, Part of Accenture is the place for you.

As a Technical Architect, Data & AI focused on Salesforce Data 360 (formerly Data Cloud) and Agentforce, you will be responsible for owning the end-to-end technical solution that turns unified customer data into intelligent, AI-powered experiences for our clients. You’ll have the opportunity to make significant contributions to our success by working with the rest of our talented AI and Data team to delight customers.

This position is focused on architecting and executing technical solutions across the Data 360 and Agentforce platform—designing scalable data models, identity resolution strategies, real-time activation patterns, and the agentic solutions built on top of them.

You’ll have the opportunity to:

• Lead and own the technical solution design across Data 360 and Agentforce—including data streams, DLOs, DMOs, identity resolution, calculated insights, segments, real-time activation, and the agent topics, instructions, and actions that consume that data.
• Design scalable and secure data architectures on Salesforce Data 360—defining ingestion patterns, harmonization, identity resolution rules, and zero-copy / data federation strategies.
• Deep dive into the limits and boundaries of Data 360 and Agentforce, finding novel solutions to drive business outcomes.
• Architect RAG and Generative AI solutions leveraging Unstructured DMOs, Retrievers, Search Indexes, and Document Processing, applying RAG best practices.
• Collaborate with customers, Project Managers, Solution Architects, Developers, and UX Designers to translate business needs into well-architected solutions.
• Oversee and contribute to all stages of the project lifecycle—from initial design through development, testing, and final deployment.
• Define integration frameworks and reference architectures connecting Data 360, MuleSoft, enterprise data warehouses, and other systems using real-time and batch patterns.
• Establish DevOps, source control, and CI/CD practices for data and AI solutions.
• Coach and mentor developers and junior architects, and follow and understand new Salesforce products and technical capabilities.

Required Qualifications

• 6+ years of experience in application, data, or software development and architecture
• 3+ years of hands-on experience with the Salesforce Platform in a development or architecture role
• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field
• Hands-on experience architecting and implementing Salesforce Data 360 (Data Cloud)—data streams, DLOs, DMOs, identity resolution, calculated insights, and activation
• Proficiency in SQL and Apex, with exposure or working knowledge of modern coding languages (e.g., Python, JavaScript, Java)
• Experience designing data integration patterns across enterprise systems (MuleSoft, ETL/ELT tooling, data warehouses such as Snowflake, BigQuery, or Redshift)
• Understanding of data modeling, governance, security, and privacy best practices
• Experience with source control, branching/pull request strategies, and familiarity with CI/CD and DevOps principles
• Strong communication skills; the ability to convey complex technical details to all audiences

Preferred Skills

• Hands-on experience with Agentforce or other Generative AI / agentic platforms
• Experience building RAG solutions with Unstructured DMOs, Retrievers, and Search Indexes
• Salesforce certifications, preferably Data Cloud Consultant, Platform Developer II, Application Architect, or Agentforce Specialist
• Experience defining robust testing approaches for data and GenAI solutions

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.

We anticipate this job posting will be posted on 06/03/2026 and open for at least 3 days.

California Annual Salary Range

$94,400 - $266,300 USD

Cleveland Annual Salary Range

$87,400 - $213,000 USD

Colorado Annual Salary Range

$94,400 - $230,000 USD

District of Columbia Annual Salary Range

$100,500 - $245,000 USD

Illinois Annual Salary Range

$87,400 - $230,000 USD

Maryland Annual Salary Range

$94,400 - $230,000 USD

Massachusetts Annual Salary Range

$94,400 - $245,000 USD

Minnesota Annual Salary Range

$94,400 - $230,000 USD

New York / New Jersey Annual Salary Range

$87,400 - $266,300 USD

Washington Annual Salary Range

$100,500 - $245,000 USD

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

For details, view a copy of the Accenture Equal Opportunity Statement

Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.

Accenture is committed to providing veteran employment opportunities to our service men and women.

What’s it like to be a part of NeuraFlash, Part of Accenture?

• Remote & In-Person: Whether you work out of our HQ in Massachusetts, one of our regional hubs, or you’re one of over half of our NeuraFlash, Part of Accenture Family who work remotely, we’re focused on keeping everyone connected and unified as one team.
• Travel: Get ready to pack your bags and hit the road! For certain roles, travel is an exciting part of the job, with an anticipated travel commitment of up to 25%. So, if you have a passion for adventure and don’t mind a little jet-setting, this opportunity could be your ticket to exploring new places while making a positive impact on clients.
• Flexibility: Do you have to take the dog to the vet, pick up the kids from school, or the in-laws from the airport? We know that a perfect 9-5 isn’t possible. So you have to jump out to do any of those, no problem! We build a culture of trust and understanding. We value good work not the hours in which you get it done
• Collaboration: You have a voice here!  If you work with a team of smart people like we do, it’s a no-brainer to take suggestions and feedback on how to keep NeuraFlash, Part of Accenture thriving.  Our executive team holds town halls & company meetings where they address any suggestions or questions asked, no matter how big or small.
• Celebrate Often: We take our work seriously, but we don’t take ourselves too seriously. Whether it is an arm wrestling contest, costume party, or ugly holiday sweaters our teams love to have fun. And while we work hard, we don’t forget to slow down and celebrate the big things and the small things together.

Why NeuraFlash, Part of Accenture:

At NeuraFlash, Part of Accenture, we are redefining the future of business through the power of AI and groundbreaking technologies like Agentforce. As a trusted leader in AI, Amazon, and Salesforce innovation, we craft intelligent solutions—integrating Salesforce Einstein, Service Cloud Voice, Amazon Connect, Agentforce and more—to revolutionize workflows, elevate customer experiences, and deliver tangible results. From conversational AI to predictive analytics, we empower organizations to stay ahead in an ever-evolving digital landscape with cutting-edge, tailored strategies.

We are proud to be creating the future of generative AI and AI agents. Salesforce has launched Agentforce, and NeuraFlash, Part of Accenture, was selected as the only partner for the private beta prior to launch. Post-launch, we’ve earned the distinction of being Salesforce’s #1 partner for Agentforce, reinforcing our role as pioneers in this transformative space.

Be part of the NeuraFlash, Part of Accenture journey and help shape the next wave of AI-powered transformation. Here, you’ll collaborate with trailblazing experts who are passionate about pushing boundaries and leveraging technologies like Agentforce to create impactful customer outcomes. Whether you’re developing advanced AI-powered bots, streamlining business operations, or building solutions using the latest generative AI technologies, your work will drive innovation at scale. If you’re ready to make your mark in the AI space, NeuraFlash, Part of Accenture is the place for you.

As a Technical Architect, Data & AI focused on Salesforce Data 360 (formerly Data Cloud) and Agentforce, you will be responsible for owning the end-to-end technical solution that turns unified customer data into intelligent, AI-powered experiences for our clients. You’ll have the opportunity to make significant contributions to our success by working with the rest of our talented AI and Data team to delight customers.

This position is focused on architecting and executing technical solutions across the Data 360 and Agentforce platform—designing scalable data models, identity resolution strategies, real-time activation patterns, and the agentic solutions built on top of them.

You’ll have the opportunity to:

• Lead and own the technical solution design across Data 360 and Agentforce—including data streams, DLOs, DMOs, identity resolution, calculated insights, segments, real-time activation, and the agent topics, instructions, and actions that consume that data.
• Design scalable and secure data architectures on Salesforce Data 360—defining ingestion patterns, harmonization, identity resolution rules, and zero-copy / data federation strategies.
• Deep dive into the limits and boundaries of Data 360 and Agentforce, finding novel solutions to drive business outcomes.
• Architect RAG and Generative AI solutions leveraging Unstructured DMOs, Retrievers, Search Indexes, and Document Processing, applying RAG best practices.
• Collaborate with customers, Project Managers, Solution Architects, Developers, and UX Designers to translate business needs into well-architected solutions.
• Oversee and contribute to all stages of the project lifecycle—from initial design through development, testing, and final deployment.
• Define integration frameworks and reference architectures connecting Data 360, MuleSoft, enterprise data warehouses, and other systems using real-time and batch patterns.
• Establish DevOps, source control, and CI/CD practices for data and AI solutions.
• Coach and mentor developers and junior architects, and follow and understand new Salesforce products and technical capabilities.

Required Qualifications

• 6+ years of experience in application, data, or software development and architecture
• 3+ years of hands-on experience with the Salesforce Platform in a development or architecture role
• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field
• Hands-on experience architecting and implementing Salesforce Data 360 (Data Cloud)—data streams, DLOs, DMOs, identity resolution, calculated insights, and activation
• Proficiency in SQL and Apex, with exposure or working knowledge of modern coding languages (e.g., Python, JavaScript, Java)
• Experience designing data integration patterns across enterprise systems (MuleSoft, ETL/ELT tooling, data warehouses such as Snowflake, BigQuery, or Redshift)
• Understanding of data modeling, governance, security, and privacy best practices
• Experience with source control, branching/pull request strategies, and familiarity with CI/CD and DevOps principles
• Strong communication skills; the ability to convey complex technical details to all audiences

Preferred Skills

• Hands-on experience with Agentforce or other Generative AI / agentic platforms
• Experience building RAG solutions with Unstructured DMOs, Retrievers, and Search Indexes
• Salesforce certifications, preferably Data Cloud Consultant, Platform Developer II, Application Architect, or Agentforce Specialist
• Experience defining robust testing approaches for data and GenAI solutions

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.

We anticipate this job posting will be posted on 06/03/2026 and open for at least 3 days.

California Annual Salary Range

$94,400 - $266,300 USD

Cleveland Annual Salary Range

$87,400 - $213,000 USD

Colorado Annual Salary Range

$94,400 - $230,000 USD

District of Columbia Annual Salary Range

$100,500 - $245,000 USD

Illinois Annual Salary Range

$87,400 - $230,000 USD

Maryland Annual Salary Range

$94,400 - $230,000 USD

Massachusetts Annual Salary Range

$94,400 - $245,000 USD

Minnesota Annual Salary Range

$94,400 - $230,000 USD

New York / New Jersey Annual Salary Range

$87,400 - $266,300 USD

Washington Annual Salary Range

$100,500 - $245,000 USD

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

For details, view a copy of the Accenture Equal Opportunity Statement

Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.

Accenture is committed to providing veteran employment opportunities to our service men and women.

What’s it like to be a part of NeuraFlash, Part of Accenture?

• Remote & In-Person: Whether you work out of our HQ in Massachusetts, one of our regional hubs, or you’re one of over half of our NeuraFlash, Part of Accenture Family who work remotely, we’re focused on keeping everyone connected and unified as one team.
• Travel: Get ready to pack your bags and hit the road! For certain roles, travel is an exciting part of the job, with an anticipated travel commitment of up to 25%. So, if you have a passion for adventure and don’t mind a little jet-setting, this opportunity could be your ticket to exploring new places while making a positive impact on clients.
• Flexibility: Do you have to take the dog to the vet, pick up the kids from school, or the in-laws from the airport? We know that a perfect 9-5 isn’t possible. So you have to jump out to do any of those, no problem! We build a culture of trust and understanding. We value good work not the hours in which you get it done
• Collaboration: You have a voice here!  If you work with a team of smart people like we do, it’s a no-brainer to take suggestions and feedback on how to keep NeuraFlash, Part of Accenture thriving.  Our executive team holds town halls & company meetings where they address any suggestions or questions asked, no matter how big or small.
• Celebrate Often: We take our work seriously, but we don’t take ourselves too seriously. Whether it is an arm wrestling contest, costume party, or ugly holiday sweaters our teams love to have fun. And while we work hard, we don’t forget to slow down and celebrate the big things and the small things together.

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.

So, what’s the role all about? We are seeking a highly organized AI Analyst to join our IT organization under the Internal AI Transformation pillar. In this role, you will be responsible for establishing governance frameworks, driving adoption, and ensuring effective and responsible use of everyday AI tools across the organization.

You will play a key role in shaping how AI is utilized internally - creating standards, managing processes, and enabling employees to maximize the value of approved AI solutions while maintaining control, compliance, and efficiency.

How will you make an impact? You will drive enterprise-wide AI governance by building structured processes, improving visibility, and ensuring consistent and scalable AI adoption across all business units.

AI Governance & Standards

• Define and maintain standards, guidelines, and templates for AI tool usage across the organization
• Establish governance frameworks to ensure consistent, compliant, and effective use of AI tools
• Promote best practices and “AI First” mindset across internal teams

AI Tools Management, support & Allocation

• Own the end-to-end process for provisioning and managing access to approved AI tools
• Act as a focal point for user support related to AI tools, ensuring timely resolution of issues and requests
• Establish structured workflows for onboarding, support, usage tracking, and lifecycle management
• Manage requests, incidents, and service processes
• Partner with IT, security, and compliance teams to ensure adherence to organizational policies

Adoption, Metrics & Cost Control

• Drive adoption of AI tools across the organization and monitor usage trends
• Define and track KPIs, metrics, and success indicators for AI utilization
• Analyze usage data to optimize performance, efficiency, and cost control
• Provide insights and reporting to leadership on adoption and ROI

Training & Enablement

• Lead AI training programs for employees to ensure effective and responsible use of AI tools
• Develop structured learning paths tailored to different user groups and roles
• Create training materials, workshops, and enablement sessions
• Encourage continuous learning and practical application of AI capabilities

Cross-Organizational Impact

• Support all employees across the company who use AI tools for internal purposes
• Drive alignment and consistency in AI-related processes across a matrixed organization
• Ensure high-quality service and support experience for internal users leveraging AI tools

Have you got what it takes?

Education & Experience:

• Bachelor’s degree in Industrial Engineering, Information Systems, or a related field
• 3+ years of experience in Program Management, Operations, IT Governance, or similar roles in large organizations

Skills & Competencies:

• Excellent organizational and program coordination skills
• Strong communication and presentation skills
• Strong analytical skills
• Strong data-driven decision-making and reporting capabilities
• Skilled at navigating ambiguity and driving alignment in matrixed environments
• Familiarity with everyday AI tools (e.g., MS Copilot & Teams, ChatGPT, Claude cowork, etc.)
• Experience working with service management / ticketing tools (e.g., ServiceNow or similar) and release management tools (e.g., Jira)

Why Join Us?

At NiCE, we don’t just connect systems—we connect people, platforms, and possibilities. In this role, you’ll be at the heart of driving product unification, governance, and go-to-market alignment across a mission-critical platform. You’ll join a team that breaks down silos and enables seamless customer experiences across our product ecosystem.

If you are a strategic thinker, a collaborative leader, and passionate about delivering cross-platform value, this is your opportunity to shape the future of customer experience with NiCE.

What’s in it for you?

Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!

Enjoy NiCE-FLEX!

At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID: 11087

Reporting into: Director, IT Projects and Planning

Role Type: Individual Contributor

About NiCE

NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.

Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.

NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.

Who we are

At CarGurus (NASDAQ: CARG), our mission is to give people the power to reach their destination. We started as a small team of developers determined to bring trust and transparency to car shopping. Since then, our history of innovation and go-to-market acceleration has driven industry-leading growth. In fact, we’re the largest and fastest-growing automotive marketplace, and we’ve been profitable for over 15 years.

What we do

The market is evolving, and we are too, moving the entire automotive journey online and guiding our customers through every step. That includes everything from the sale of an old car to the financing, purchase, and delivery of a new one. Today, tens of millions of consumers visit CarGurus.com each month, and ~30,000 dealerships use our products. But they’re not the only ones who love CarGurus—our employees do, too. We have a people-first culture that fosters kindness, collaboration, and innovation, and empowers our Gurus with tools to fuel their career growth. Disrupting a trillion-dollar industry requires fresh and diverse perspectives. Come join us for the ride!

Role Overview

CarGurus is transforming how the company operates by embedding AI into workflows across every function — product, engineering, revenue, finance, support. It’s a software engineering role where the domain is the entire business. You’ll work directly with teams across the org to understand how work actually gets done, identify where AI can change the unit of work or shift where judgment lives, and build the systems that make it real. Some of that is agent-based automation. Some of it is workflow redesign. All of it requires someone who can architect and ship production-quality software, not stitch together SaaS integrations. This is not a Salesforce developer, Boomi connector, or low-code/no-code position, nor is it an enterprise architect or ML model training role.

This is a small, high-autonomy team reporting to the Head of AI Solutions. You’ll have outsized influence on how a publicly traded company with ~$1B in revenue adopts AI — not as a pilot or a demo, but as a structural change in how the business runs. You will be successful here if you are a product-caliber engineer who finds internal workflow transformation genuinely interesting — not a consolation prize, but the most leveraged place to be right now. You’d rather build something real that 200 people use tomorrow than something polished that ships in 6 months.

What You’ll Do

• Design and build AI-powered workflows and agent-based systems that transform how teams operate across the company.
• Partner directly with stakeholders in revenue, product, engineering, finance, and operations to gather requirements, map existing workflows, and identify high-leverage opportunities for AI.
• Build end-to-end — from scoping and architecture through implementation and deployment. This team ships, it doesn’t hand off specs.
• Work with AI APIs and platforms (Anthropic/Claude, AWS Bedrock, and others) to build agentic systems, automation pipelines, and intelligent tooling.
• Operate across a messy, heterogeneous environment — AWS infrastructure, Salesforce, internal services — without waiting for everything to be clean before you start building.
• Help shape the technical strategy and standards for AI Solutions as a function.

What You’ll Bring

Must-haves:

• 8+ years of relevant software engineering experience (no degree required; equivalent experience is fully accepted).
• Strong software engineering fundamentals — you’ve built and shipped production systems, not just prototypes.
• Proficiency in Python as the primary language for this work; comfort with additional languages is a plus.
• Experience designing APIs, services, and data pipelines. You think in systems, not scripts.
• AWS fluency — you’re comfortable working within AWS infrastructure and services.
• Hands-on experience building with LLM APIs, agent frameworks, or AI-powered applications — not just experimentation, but something that ran in production or was used by real people.
• Ability to operate with high autonomy. You’ll scope your own work, make architectural decisions, and own outcomes.
• Willingness to work across the full stack of a business — including systems like Salesforce that aren’t glamorous but are where the high-impact problems live.

Nice-to-haves:

• Experience with workflow orchestration or automation at scale.
• Familiarity with Salesforce APIs and integration patterns (not Salesforce administration).
• Background in recommendations, search, data science, or ML engineering.
• Experience working cross-functionally with non-technical stakeholders.

The displayed range represents the expected annual base salary / On-Target Earnings (OTE) for this position. On-Target Earnings (OTE) is inclusive of base salary and on-target commission earnings, which applies exclusively to sales roles.

Individual pay within this range is determined by work location and other factors such as job-related skills, experience, and relevant education or training.

This annual base salary forms part of a comprehensive Total Rewards Package. In addition to benefits, this role may qualify for discretionary bonuses/incentives and Restricted Stock Units (RSUs).

Position Pay Range

$172,000—$216,000 USD

Working at CarGurus

We reward our Gurus’ curiosity and passion with best-in-class benefits and compensation, including equity for all employees, both when they start and as they continue to grow with us. Our career development and corporate giving programs, as well as our employee resource groups (ERGs) and communities, help people build connections while making an impact in personally meaningful ways. A flexible hybrid model and robust time off policies encourage work-life balance and individual well-being. Thoughtful perks like daily free lunch, a new car discount, meditation and fitness apps, commuting cost coverage, and more help our people create space for what matters most in their personal and professional lives.

We welcome all

CarGurus strives to be a place to which people can bring the ultimate expression of themselves and their potential—starting with our hiring process. We do not discriminate based on race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. We foster an inclusive environment that values people for their skills, experiences, and unique perspectives. That’s why we hope you’ll apply even if you don’t check every box listed in the job description. We also encourage you to tell your recruiter if you require accommodations to participate in our hiring process due to a disability so we can provide the appropriate support. We want to know what only you can bring to CarGurus. #LI-Hybrid

The role we’re hiring for

Most product marketing job descriptions you’ll read this week were written for the world before generative AI ate content production. This one wasn’t.

Product marketing at Sift is being rebuilt around a thesis: the highest-leverage thing a modern PMM can do is not personally write the pitch deck, the launch one-pager, or the competitive battlecard. It’s to build the knowledge systems, agents, and workflows that let the rest of the GTM org produce those artifacts at disproportionate throughput while maintaining our voice, our positioning, and grounded in the most current truth we have about ourselves, our market, and our buyers.

We’re hiring a Product Marketing Manager, someone whose primary craft is building. You’ll work horizontally across all four of Sift’s product lines in service of our existing PMMs and the broader Marketing, Sales, and CS organizations.

If you’ve already shipped an internal agent on Glean, Claude, custom GPTs, or anywhere else and you can talk fluently about why your evals matter more than your prompts, keep reading.

What you’ll actually do

Build the source-of-truth substrate. Audit, organize, and unify what Sift knows about its products, competitors, ICP segments, sales motion, win/loss patterns, and customer language. Decide what lives where, what gets retired, what needs to be created, and what needs to be made machine-readable instead of just human-readable.

Ship internal agents that move the needle. Identify the GTM workflows where an agent saves the most hours per week or unlocks the most consistency: competitive Q&A for AEs, first-pass launch briefs, draft messaging for new campaigns, RFP support and build them. Measure adoption and quality. Iterate.

Equip the PMM team to operate at higher leverage. Help evolve the product marketing organization to focus less on hand-crafted deliverables and more on activities with strategic importance: sales enablement, message refinement, and researching the competitive landscape.

Set evaluation standards. Define how we measure agent quality at Sift: accuracy, voice fidelity, helpfulness, hallucination rate. Make sure what we ship gets better over time, not just bigger.

Be the team’s AI tooling lead. Evaluate, recommend, and integrate new AI tools as the landscape shifts. Build the relationships and the muscle so we’re early to what matters and skeptical of what doesn’t.

Who we think you are

You’re someone for whom the last two years have been a step function in what you can produce. You’ve built things for fun, for past jobs, on the side. Not “I asked ChatGPT to write a term paper” things. Real things: an agent your old team still uses, a workflow that saved you a significant time, a custom GPT that does one job exceptionally well.

Specifically:

• 3–8 years in product marketing, content strategy, sales enablement, marketing ops, growth, or an adjacent role where you produced GTM artifacts and felt firsthand where the work was repetitive

• You’ve shipped at least one internal AI assistant, whether Glean, Claude, custom GPT, or similar that other people actually used, and you can speak to the design decisions you made

• Comfortable with prompt engineering, retrieval design, and evaluation frameworks. You know why a system prompt isn’t a JD, and why “looks good to me” isn’t an eval

• Have evaluated and selected AI tools for a team before, including the unfun parts: vendor procurement, auditing outputs, and getting people to actually use the thing

• Fraud, trust & safety, or risk industry background strongly preferred. Time on the buy side, the sell side, or at a Sift competitor or adjacent player is a real plus

• You write well. You can hold a brand voice. You’re not allergic to positioning, messaging, or launches, you just believe the leverage point has shifted

• You’re comfortable being early. This role is being invented in real time, and your second month here will not look like your first

Bonus signals (not requirements):

• Light coding fluency: you can read and modify Python or JavaScript, are comfortable with APIs, and have wired things together via MCP, Zapier, n8n, or similar

• Specific experience with Anthropic’s Claude: Projects, Skills, Agents, or the API

• You’ve written or spoken publicly about your AI work

What we’re not looking for

• Someone whose primary excitement is owning a product line’s positioning and writing its narrative deck.

• Someone who treats AI as a productivity hack instead of a craft. We want people who think about agents the way good PMs think about products.

• Generalist enthusiasm without shipped work. The bar here is “show me what you built,” not “tell me what you’ve read.”

How to apply

Send your resume and include a link to or write-up of something you’ve built. A Claude Project, a Glean assistant, a custom GPT, a screencast of a workflow, a GitHub rep. Give us anything where we can see how you think when you’re designing for a user that isn’t you. One real thing beats ten polished bullet points.

Applications without a “what I built” artifact will get less attention than those with one.

Let’s build it together:

At Sift, we are intentionally building a diverse, equitable, and inclusive workplace. We believe that diversity drives innovation, equity is a fundamental right, and inclusion is a basic human need. We envision a place where all Sifties feel secure sharing their authentic selves and diverse experiences with their teams, their customers, and their community – ultimately using this empowerment and authenticity to build trust and create a safer Internet.

This document provides transparency around how Sift handles the personal data of job applicants: https://sift.com/recruitment-privacy

A little about us:

Sift is the AI-powered fraud platform securing digital trust for leading global businesses. Our deep investments in machine learning and user identity, a data network scoring 1 trillion events per year, and a commitment to long-term customer success empower more than 700 customers to grow fearlessly. Global brands rely on Sift to unlock growth and deliver seamless consumer experiences. Visit us at sift.com and follow us on LinkedIn.