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 programm...