Lead Agentic AI Engineer

We are looking for a Lead Agentic AI Engineer to own scalable autonomous agent systems and production architecture, reliability, and operational excellence. You will shape production-grade agentic workflows using AWS Bedrock AgentCore and proven agentic frameworks, improving evals, tracing, guardrails, and cost controls. If you thrive at the intersection of AI Solution Engineering and AI Security.
Responsibilities
Define the architecture to build, deploy, and operate autonomous agents, covering runtime, memory, identity, tools, and observability
Champion the adoption of AWS Bedrock AgentCore and the Strands Agents SDK across agent harnesses and production deployments
Architect durable long-term memory and context-management systems that remain reliable across multi-step engagements
Create and maintain MCP servers and tool integrations that agents invoke, such as recon, scanners, exploit primitives, and custom internal services
Optimize agent reasoning reliability, cost, and latency, and set standards for evals, tracing, and guardrails
Requirements
Proven track record with 5+ years of experience building production software, including 2+ years shipping LLM-based agents to production
Hands-on proficiency in Python and practical experience with an agentic framework such as Strands, LangGraph, Claude Agent SDK, OpenAI Agents SDK, or CrewAI
Solid familiarity with AWS Bedrock AgentCore primitives, including Runtime, Memory, Identity, Gateway, and Observability, or proven ability to ramp up fast
Deep understanding of MCP, tool use, prompt/context engineering, memory architectures, and agent evaluation
Strong production engineering skills across observability, guardrails, retries, cost control, and security boundaries
English proficiency at B2 level (Upper-Intermediate) or higher
Nice to have
Background in application security, web pentesting, or red-teaming
Experience 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
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