We are seeking a
Chief Agentic AI Engineer
to architect, deliver, and run autonomous agent systems at scale with production-grade reliability. You will shape end-to-end agentic workflows across runtime, memory, identity, tools, and observability while raising the bar for evaluation, tracing, and guardrails.
Define architecture for building, deploying, and operating autonomous agents, covering runtime, memory, identity, tools, and observability Champion adoption 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 effective across multi-step engagements Create 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, and establish standards for evals, tracing, and guardrails Proven experience building production software,



including 7+ years overall and 2+ years shipping LLM-based agents to production Expert proficiency in Python with 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 a demonstrated ability to ramp up quickly Deep understanding of MCP, tool use, prompt/context engineering, memory architectures, and agent evaluation Strong production design skills spanning observability, guardrails, retries, cost control, and security boundaries English proficiency at B2 (Upper-Intermediate) level or higher Experience in application security, web pentesting, or red-teaming Exposure to sandboxed code execution, browser agents, or autonomous tool orchestration

📌 Chief Agentic Ai Engineer (México)
🏢 Epam Systems
📍 México