Overview
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
[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