Senior Python Engineer (AI Enablement Platform)

Description

Summary: Seeking a Senior Python Engineer to design and govern the Model Context Protocol (MCP) architecture within an AI Enablement Platform, enabling secure connections for LLM-based applications. Highlights: 1. Contribute to the design and governance of AI architecture 2. Drive cutting-edge AI solutions across the organization 3. Collaborate with AI, cloud, and DevOps teams We are seeking a talented **Senior Python Engineer** to contribute to the design and governance of the Model Context Protocol (MCP) architecture within our AI Enablement Platform. This pivotal role will enable secure connections between LLM\-based applications, agents, enterprise tools, and internal systems, driving cutting\-edge AI solutions across the organization. **Responsibilities** * Design scalable and secure MCP server architecture across enterprise systems such as SharePoint, internal knowledge bases, and APIs * Define context orchestration patterns for agent\-based and LLM\-driven applications * Establish governance, 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 of MCP integrations within Azure environments * Drive best practices for agent\-tool orchestration and structured context management **Requirements** * 3\+ years of experience in Gen AI application development, Python programming, and data solution architecture * Knowledge of LLM architectures and agent frameworks * Background in designing secure API layers and enterprise integrations * Proficiency in cloud\-native systems, particularly Azure * English proficiency at B2 level or higher **Nice to have** * Expertise in agentic workflows and Databricks