Note: The job is a remote job and is open to candidates in USA. Sogeti USA is seeking an Agentic AI Engineer / Architect to help clients move from AI experimentation to enterprise-scale adoption with measurable business outcomes. The role supports the growth of Sogeti’s AI business by shaping client solutions, building market-relevant capabilities, and developing AI skills across the organization.
Responsibilities
- In this role, you will work closely with the National AI Practice Lead to grow Sogeti’s AI business, shape client solutions, build market-relevant capabilities, and develop AI skills across the organization
- The AI Engineer / Architect will work across areas such as Generative AI, Agentic AI, AI-enabled software engineering, intelligent automation, machine learning, and enterprise AI platforms to help clients rethink how work gets done
Skills
- Must be US Citizen or Green Card
- Software engineering; strong Python and/or TypeScript
- Deep Azure or AWS expertise: infrastructure-as-code (Bicep or Terraform), networking, identity, container platforms, Azure AI services
- Production LLM or agentic systems you personally built and ran end to end — data flows, orchestration, deployment, evaluation, incident response — be prepared to walk through the most recent one
- Evaluation engineering: you design and build eval suites — datasets, metrics, regression tests wired into CI — and hold them as release gates, not demos
- Ownership of CI/CD pipelines (GitHub Actions, Azure DevOps, or equivalent)
- Identity-aware API and integration design
- Sound judgment partnering with vendors while keeping core capability in-house
- AI-augmented development as your default — we work with Claude and Microsoft Copilot, and expect them in your daily build loop
- 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
- Hands-on familiarity with major AI platforms and ecosystems such as OpenAI, Microsoft Azure AI, AWS, Google Cloud, Anthropic, and Databricks
- Experience with AI engineering patterns such as RAG, agents, tool use, evaluation, orchestration, observability, and AI governance
- Experience with AI-assisted software engineering platforms and tools
- Consulting experience across multiple industries or enterprise clients
- Experience developing reusable offerings, accelerators, or intellectual property
Benefits
- For eligible employees: Flexible work
- For eligible employees: Healthcare including dental, vision, mental health, and well-being programs
- For eligible employees: Financial well-being programs such as 401(k) (matched 150% up to 6%) and Employee Share Ownership Plan
- For eligible employees: 100% Company-paid mobile phone plan
- For eligible employees: 3 weeks Personal Time Off (PTO) and 7 Paid Holidays
- For eligible employees: Paid parental leave
- For eligible employees: Family building benefits like adoption assistance, surrogacy, and cryopreservation
- For eligible employees: Social well-being benefits like subsidized back-up child/elder care and tutoring
- For eligible employees: Mentoring, coaching and learning programs
- For eligible employees: Continuing Education: $5,200.00 Annual Tuition Reimbursement plus access to over 20,000 online courses and certifications through Capgemini University, as well as Coursera and Degreed.
- For eligible employees: Programs for Counseling, Support, Health and Fitness perks, Auto discounts and much, much more!
- For eligible employees: Employee Resource Groups
- For eligible employees: Disaster Relief
- 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.
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