> Markdown version of [/jobs/ext/3751305-platform-eng-gen-ai](https://www.wearedevelopers.com/jobs/ext/3751305-platform-eng-gen-ai). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Platform Eng - Gen AI - **Company:** Capgemini - **Location:** United States - **Experience:** Expert - **Salary:** $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 15, 2026 - **Apply:** https://www.capgemini.com/jobs/572083-en_US_SAPBTP/x/ ## About the Role * 8+ 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 MCP (Model Context Protocol). * Proficiency in Python, Java, and API integrations. * Experience with prompt engineering and AI governance. * Strong understanding of LLM integration and model orchestration. * Experience integrating enterprise AI services, APIs, and backend systems. * Knowledge of AI safety controls, policy enforcement, guardrails, and responsible AI practices. * Experience developing telemetry, monitoring, and governance capabilities for AI platforms. * Strong collaboration and communication skills with 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 enabling secure interaction between 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.