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 looking for a Chief Agentic AI Engineer to build autonomous agent systems at scale and steer decisions across runtime, memory, identity, tools, and observability. You will lead production-grade deployments using AWS Bedrock AgentCore and agentic frameworks, shaping guardrails, evals, and reliability.

Responsibilities

• Define the architecture for building, deploying, and operating autonomous agents across runtime, memory, identity, tools, and observability




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

Requirements

• 7+ years of experience building production software, including 2+ year shipping LLM-based agents to production
• Expert proficiency in Python and 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, including Runtime, Memory, Identity, Gateway, and Observability, or demonstrated ability to ramp up quickly
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📌 Chief Agentic AI Engineer (Colombia)
🏢 EPAM Systems
📍 Colombia