EPAM is a leading integral 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 looking for a Lead Agentic AI Engineer to own scalable autonomous agent systems and production architecture, reliability, and operational excellence. You will shape production-grade agentic workflows using AWS Bedrock AgentCore and proven agentic frameworks, improving evals, tracing, guardrails, and cost controls. If you thrive at the intersection of AI Solution Engineering and AI Security.

Responsibilities

• Define the architecture to build, deploy, and operate autonomous agents, covering runtime,



memory, identity, tools, and observability
• Champion the adoption of AWS Bedrock AgentCore and the Strands Agents SDK across agent harnesses and production deployments
• Architect durable long-term memory and context-management systems that remain reliable across multi-step engagements
• Create and maintain MCP servers and tool integrations that agents invoke, such as recon, scanners, exploit primitives, and custom internal services
• Optimize agent reasoning reliability, cost, and latency, and set standards for evals, tracing, and guardrails

Requirements

• Proven track record with 5+ years of experience building production software, including 2+ years shipping LLM-based agents to production
• Hands-on proficiency in Python and practical experience with an agentic framework such as Strands, LangGraph, Claude Agent SDK, OpenAI Agents SDK, or CrewAI
• Solid familiarity with AWS B

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