Gen AI Platform Eng
About The Position
Capgemini is seeking an experienced AI Platform Engineer to design and implement enterprise AI agent frameworks and orchestration platforms. The role focuses on Generative AI, Agentic AI, LLM integrations, and AI governance, building scalable, secure, and compliant AI solutions. The engineer will integrate LLMs and enterprise AI services with APIs and backend systems; develop secure tool invocation frameworks; implement prompt safety controls, policies, guardrails, and responsible AI practices; and create telemetry and monitoring capabilities for AI usage, performance, and governance. The role collaborates with product, engineering, and security teams to deliver enterprise Generative AI solutions. The posted base compensation range is $80,000–$96,655. Compensation may vary based on legally permitted factors and may include additional variable incentives, bonuses, or commissions. Regular full-time employees may be eligible for benefits according to local policy and eligibility. In the U.S. and Canada, benefits may include paid time off, holidays, personal days, sick leave, medical, dental and vision coverage (or provincial healthcare coordination in Canada), retirement savings plans, life and disability insurance, and employee assistance programs.
Requirements
- At least 5 years of experience designing and implementing enterprise AI agent frameworks and orchestration platforms.
- Strong experience with Generative AI and Agentic AI frameworks.
- Hands-on experience with LangChain, LangGraph, Semantic Kernel, and Model Context Protocol (MCP).
- Proficiency in Python, Java, and API integrations.
- Experience with prompt engineering and AI governance practices.
- Strong understanding of LLM integration and model orchestration.
- Experience integrating enterprise AI services, APIs, and backend systems.
- Knowledge of AI safety, policy enforcement, and responsible AI principles.
- Experience building monitoring, telemetry, and governance solutions for AI platforms.
- Strong collaboration skills and ability to work effectively across product, engineering, and security teams.
Responsibilities
- Design and implement enterprise AI agent frameworks and orchestration platforms.
- Develop integrations with LLMs, enterprise AI services, APIs, and backend systems.
- Build tool invocation frameworks that enable secure interaction between AI agents and business applications.
- Implement prompt safety controls, policy enforcement, guardrails, and responsible AI practices.
- Develop telemetry and monitoring capabilities for AI usage, performance, and governance.
- Collaborate with product and security teams to deliver scalable and compliant Generative AI solutions.
Benefits
- Paid time off, including vacation of 12–25 days depending on employee grade, company-paid holidays, personal days, and sick leave, subject to policy.
- Medical, dental, and vision coverage, or provincial healthcare coordination in Canada, subject to local policy and eligibility.
- Retirement savings plans, such as a 401(k) in the U.S. or RRSP in Canada.
- Life and disability insurance.
- Employee assistance programs.
- Other benefits as provided by local policy and eligibility.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
