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 Lead Agentic AI Engineer to design, build, and operate scalable autonomous agent systems for production AI deployments. You will drive key decisions across runtime, memory, identity, tools, and observability while leading adoption of Amazon Bedrock AgentCore and related SDKs.

Responsibilities

- Architect end-to-end systems to build, deploy, and run 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 releases
- Design long-term memory and context-management capabilities that support sustained multi-step engagements
- Build and maintain MCP servers and agent tool integrations such as recon tools, scanners, exploit primitives, and internal custom services
- Optimize agent reasoning for higher reliability, improved cost-efficiency, and faster execution
- Define standards for evaluations, tracing, and guardrails

Requirements

- Proven track record with 5+ years building production software,



including 2+ year deploying LLM-based agents to production
- Expert Python skills and hands-on experience with agentic frameworks like Strands, LangGraph, Claude Agent SDK, OpenAI Agents SDK, or CrewAI
- Hands-on knowledge of AWS Bedrock AgentCore components—Runtime, Memory, Identity, Gateway, and Observability—or the ability to ramp up quickly
- Solid background in MCP, tool use, prompt/context engineering, memory architectures, and agent evaluation methods
- Deep understanding of production-grade design, including 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 global 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
- Integral 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.

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