Enterprise-scale experience architecting AI or GenAI solutions on the Microsoft Azure stack (Azure OpenAI, Azure AI Foundry, AKS, Azure Functions, Azure DevOps), including RAG, agentic and multi-agent orchestration, Model Context Protocol (MCP), and LLM evaluation frameworks, is preferred. Guides LLMOps and responsible AI practices across domains - including evaluation harnesses, guardrails and content safety, model routing and fallback, PTU/quota capacity planning, and cost optimization - and leads architectural reviews of AI/GenAI solutions prior to production deployment.