Summary: Lead the design and governance of the Model Context Protocol (MCP) within an AI Enablement Platform, ensuring secure connectivity for LLM-based applications across the organization. Highlights: 1. Architect scalable, secure MCP server designs 2. Drive best practices for agent-tool orchestration 3. Deep understanding of LLM architectures and agent frameworks We are looking for a **Chief Python Engineer (AI Enablement Platform)** to lead the design and governance of the Model Context Protocol (MCP) within our AI Enablement Platform. You will enable secure connectivity between LLM\-based applications, agents, enterprise tools, and internal systems across the organization. Partner with engineering teams to deliver scalable, compliant MCP integrations in Azure and apply today **Responsibilities** * Architect scalable, secure MCP server designs across enterprise systems, including SharePoint, internal knowledge bases and APIs * Define context\-orchestration patterns for agent\-based and LLM\-driven applications * Set governance practices, access control and security standards for data exposure and tools * Collaborate with AI engineers, cloud and DevOps teams to ensure production readiness * Optimize performance, cost and observability for MCP integrations in Azure environments * Drive best practices for agent\-tool orchestration and structured context management **Requirements** * 7\+ years of experience in Gen AI application development, Python programming and data solution architecture * Deep understanding of LLM architectures and agent frameworks * Solid background in designing secure API layers and enterprise integrations * Hands\-on proficiency with cloud\-native systems, especially Azure * English proficiency at B2 (Upper\-Intermediate) level or higher **Nice to have** * Advanced expertise in agentic workflows and Databricks