Summary: Seeking a Lead Python Engineer to architect and govern the Model Context Protocol (MCP) within an AI Enablement Platform, enabling secure links between AI systems and enterprise tools. Highlights: 1. Shape and govern AI architecture for secure context management 2. Partner with AI, cloud, and DevOps teams on production-ready integrations 3. Champion best practices for agent-tool orchestration We are building a **Lead Python Engineer** role to shape and govern the Model Context Protocol (MCP) architecture within our AI Enablement Platform. You will enable secure links between LLM apps, agents, enterprise tools and internal systems, partnering with AI, cloud and DevOps teams to deliver production\-ready integrations. Apply to help standardize secure, scalable context management across the organization. **Responsibilities** * Architect scalable, secure MCP server design across enterprise systems such as SharePoint, internal knowledge bases and APIs * Define context orchestration patterns for agent\-based and LLM\-driven applications * Set governance, access control and security standards for data exposure and tools * Partner with AI engineers, cloud, and DevOps teams to ensure production readiness * Optimize MCP integrations in Azure for performance, cost efficiency and observability * Champion best practices for agent\-tool orchestration and structured context management **Requirements** * Proven track record with 5\+ years of 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 experience with cloud\-native systems, particularly Azure * English proficiency at B2 (Upper\-Intermediate) level or higher **Nice to have** * Strong expertise in agentic workflows and Databricks