Lead Agentic AI Engineer

We are seeking a Lead Agentic AI Engineer to architect and run autonomous agent systems at scale for production AI deployments. You will guide decisions across runtime, memory, identity, tools, and observability using AWS Bedrock AgentCore and agentic frameworks. Partner with engineers to raise reliability, safety, and cost efficiency.
Responsibilities
Design end-to-end architecture 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 across agent harnesses and production deployments
Architect long-term memory and context-management mechanisms that remain robust across multi-step engagements
Build and curate MCP servers and tool integrations agents call, including recon, scanners, exploit primitives, and custom internal services
Optimize reliability, cost, and latency of agent reasoning
Define standards for evals, tracing, and guardrails
Requirements
Proven experience building production software for 5+ years, including 2+ years delivering LLM-based agents into production
High proficiency in Python plus 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 (Runtime, Memory, Identity, Gateway, Observability) or demonstrated ability to ramp up quickly
Solid understanding of MCP, tool use, prompt/context engineering, memory architectures, and agent evaluation
Demonstrated ability to design for production, including observability, guardrails, retries, cost control, and security boundaries
English proficiency at B2 (Upper-Intermediate) level 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

Work arrangement
Yes