Lead Agentic AI Engineer

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
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