EPAM is a leading general provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

We are seeking a Lead Agentic AI Engineer to architect and run autonomous agent systems at scale for production AI deployments. You will guide decisions across runtime, memory, identity, tools, and observability using AWS Bedrock AgentCore and agentic frameworks. Partner with engineers to raise reliability, safety, and cost efficiency.

Responsibilities

• Design end-to-end architecture for building, deploying, and operating autonomous agents across runtime, memory, identity, tools, and observability




• Lead adoption of AWS Bedrock AgentCore and the Strands Agents SDK across agent harnesses and production deployments
• Architect long-term memory and context-management mechanisms that remain robust across multi-step engagements
• Build and curate MCP servers and tool integrations agents call, including recon, scanners, exploit primitives, and custom internal services
• Optimize reliability, cost, and latency of agent reasoning
• Define standards for evals, tracing, and guardrails

Requirements

• Proven experience building production software for 5+ years, including 2+ years delivering LLM-based agents into production
• High proficiency in Python plus hands-on use of an agentic framework such as Strands, LangGraph, Claude Agent SDK, OpenAI Agents SDK, or CrewAI
• Working knowledge of AWS Bedrock AgentCore primitives (Runtime, Memory, Identity, Gateway, Observability) or demonstrated ab

📌 Lead Agentic AI Engineer (México)
🏢 Epam Systems
📍 México