EPAM is a leading global 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 Chief Agentic AI Engineer to build production-grade autonomous agent systems and drive architecture across runtime, memory, identity, tools, and observability. You will lead critical technical decisions, guide adoption of AWS Bedrock AgentCore and Strands, and set standards for MCP-based tooling, evaluations, and guardrails.

Responsibilities

- Architect end-to-end platforms 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 to power agent harnesses and production launches
- Design durable long-term memory and context-management capabilities that support multi-step engagements
- Build and sustain MCP servers and tool integrations agents depend on, including recon tools, scanners, exploit primitives, and internal custom services
- Optimize agent reasoning to improve reliability, cost-efficiency, and speed
- Define standards for evaluations, tracing, and guardrails

Requirements

- Proven production software experience (7+ years),



including 2+ year deploying LLM-based agents into production
- Advanced Python skills with hands-on use of agentic frameworks such as Strands, LangGraph, Claude Agent SDK, OpenAI Agents SDK, or CrewAI
- Working knowledge of AWS Bedrock AgentCore components (Runtime, Memory, Identity, Gateway, Observability) or the ability to ramp up quickly
- Strong understanding of MCP, tool use, prompt/context engineering, memory architectures, and agent evaluation approaches
- Demonstrated ability to design production-ready systems with observability, guardrails, retry logic, cost management, and security boundaries
- English proficiency at B2 (Upper-Intermediate) level or higher

Nice to have

- Experience with application security, web pentesting, or red-teaming
- Familiarity with sandboxed code execution, browser agents, or autonomous tool orchestration

We offer

- International projects with top brands
- Work with integral 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

EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.

📌 Chief Agentic AI Engineer (Colombia)
🏢 EPAM Systems
📍 Colombia