Job description

The Microsoft AI Engineer (Agentic AI / Azure AI Platform) is responsible for architecting and developing enterprise-grade agentic AI systems within the Microsoft AI ecosystem, focusing on scalable, secure, and production-ready implementations. The role involves building complex multi-agent systems using the Microsoft Agent Framework and integrating architectural patterns from Semantic Kernel and AutoGen. It includes implementing Agent-to-Agent (A2A) communication and Model Context Protocol (MCP) to enable dynamic discovery and invocation of enterprise tools by AI agents. The engineer will design and deploy Retrieval-Augmented Generation (RAG) pipelines using Azure AI Foundry IQ and Azure AI Search, supporting high-accuracy, multi-hop reasoning across enterprise data sources. The role also requires designing hybrid orchestration models that combine dynamic agentic reasoning with deterministic workflow orchestration. Additionally, the engineer will deploy and manage the Foundry Citadel Platform to ensure governance, cost control, observability, and compliance across AI workloads while leveraging Citadel’s agent-level tracing and automated evaluation capabilities for real-time monitoring. The position includes developing custom user interfaces using React.js, Tailwind CSS, and Streamlit to enable human interaction, supervision, and control of AI agents, and integrating agentic workflows into platforms such as Microsoft Teams, web portals, and the VS Code AI Toolkit. The role is deeply embedded in the Azure AI ecosystem, leveraging Azure OpenAI Service, Azure AI Search, Cosmos DB, and governance tools such as Microsoft Purview and AI Content Safety.