Senior AI Engineer

About the role

About the Role:

We are looking for a Senior AI Engineer to design and build production-grade Generative AI and Agentic AI systems for enterprise clients.

This is a hands-on engineering role. You will be in the codebase. You will also partner with client stakeholders and shape where their AI roadmap goes — but the defining trait of this role is that you build the thing you designed, and you own it once it's running.

What You Will Do

Build and ship enterprise GenAI and multi-agent systems end to end — architecture through production deployment. You write code, review PRs, and own what runs.

Design and implement agent orchestration: autonomous workflows, inter-agent communication, handoff and coordination patterns, and graceful failure recovery.

Build retrieval systems that hold up under real data — chunking and indexing strategy, vector search, hybrid retrieval, reranking, and the evaluation to prove any of it works.

Establish evaluation and regression testing for LLM applications so quality is measured, not assumed.

Instrument systems for observability: token consumption, latency, failure modes, and cost per transaction.

Debug and remediate production issues in non-deterministic systems, including silent failures and quality regressions.

Make and defend model selection and inference cost tradeoffs.

Partner directly with client stakeholders to translate business objectives into systems that ship — and produce the architecture artifacts (HLDs, LLDs, API specs, roadmaps) that let a client's own teams operate what you built.

Design integrations between AI platforms and enterprise applications, APIs, databases, and third-party systems.

What You Will Bring

8+ years in software engineering, including 3+ years building production Generative AI systems.

At least one GenAI system you took from prototype to production with real users — and the ability to walk through what you'd design differently now.

2+ years building multi-agent systems: autonomous workflows, orchestration frameworks, and coordination between agents. Whether you used A2A, MCP, LangGraph, or something you wrote yourself matters less than what you learned building it.

Strong hands-on Python. You're comfortable in someone else's codebase and you've written the kind of code other engineers depend on.

Experience with leading foundation models (Claude, OpenAI GPT, open-source alternatives) and a working understanding of where each one fits.

Production experience on at least one major cloud — Azure, AWS, or GCP — with working familiarity across others. Relevant services include Azure OpenAI and Azure AI Services, AWS Bedrock and SageMaker, Vertex AI, and Databricks.

Solid grounding in ML fundamentals, model deployment, vector databases, and semantic search.

You've hit the wall where a working demo stopped working at scale, and you can explain what caused it and how you fixed it.

About Sogeti

Part of the Capgemini Group, Sogeti makes business value through technology for organizations that need to implement innovation at speed and want a local partner with global scale. With a hands-on culture and close proximity to its clients, Sogeti implements solutions that will help organizations work faster, better, and smarter. By combining its agility and speed of implementation through a DevOps approach, Sogeti delivers innovative solutions in quality engineering, cloud and application development, all driven by AI, data and automation.

Become Your Best | www.sogeti.us

Disclaimer

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.

Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $165,000 - $200,000.

This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.