Key Responsibilities: Build and orchestrate multi‑agent systems (A2A communication, multi‑agent orchestration, etc.). Integrate Azure OpenAI, Azure AI Search, and other LLM/model endpoints. Design and implement Retrieval-Augmented Generation (RAG) pipelines using vector databases and enterprise knowledge sources. Develop tooling and MCP integrations. Build evaluation, testing, observability, and monitoring capabilities for AI applications. Develop scalable backend services and production-ready agent workflows. Optimize prompt engineering, retrieval strategies, and context management for enterprise AI solutions. Enforce identity, RBAC, Zero Trust, encryption, and Responsible AI guardrails across autonomous agent operations. Must-Have Skills & Requirements: Hands-on experience with Azure OpenAI Service and Azure AI ecosystem. Strong programming skills in Python (mandatory) and familiarity with JavaScript/TypeScript or C#. Strong expertise in Retrieval-Augmented Generation (RAG) architect...