Overview
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
[GTS] Benefits (generic, except India)
- 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