Chief Python Engineer (AI Enablement Platform)

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

We offer

• International projects with top brands
• Work with global teams of highly skilled, diverse peers
• Healthcare benefits
• Employee financial programs
• Paid time off and sick leave
• Upskilling, reskilling and certification courses
• Unlimited access to the LinkedIn Learning library and 22,000+ courses
• Global career opportunities
• Volunteer and community involvement opportunities
• EPAM Employee Groups
• Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn