Chief Agentic AI Engineer

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 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
Deep understanding of MCP, tool use, prompt/context engineering, memory architectures, and agent evaluation
Demonstrated capability to design for production, including observability, guardrails, retries, cost control, and security boundaries
English proficiency at B2 level or higher
Nice to have
Prior background in application security, web pentesting, or red-teaming
Exposure to 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
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.

Work arrangement
Yes