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# Gen AI Platform Eng

- **Company:** Capgemini
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $80,000.0 - $96,655.0
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Business Software, Python (Programming Language), Software Safety, Systems Integration, LangChain, Large Language Models, Prompt Engineering, Generative AI, Backend, Agentic-AI, AI Platforms, Kubernetes, Build Tools, Virtual Agents, Model Context Protocol, Semantic Kernel, Api Management
- **Published:** October 14, 2026
- **Apply:** https://www.capgemini.com/jobs/572076-en_US_SAPBTP/x/

## About the Role

We are seeking an experienced AI Platform Engineer to design and implement enterprise AI agent frameworks and orchestration platforms. The ideal candidate will have expertise in Generative AI, Agentic AI, LLM integrations, and AI governance, with the ability to build scalable, secure, and compliant AI solutions., * 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 with the ability to work effectively across product, engineering, and security teams.

## Description

* 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.