Head of Autonomous AI Agents & Systems

EPAM Systems, Inc.; United States; Remote; USD 180,000 - 280,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off

Professional development

Job summary

EPAM Systems, Inc. seeks a Chief Agentic AI Engineer to architect, deliver, and run autonomous agent systems at scale with production-grade reliability.

You will shape end-to-end agentic workflows across runtime, memory, identity, tools, and observability while raising the bar for evaluation, tracing, and guardrails. Responsibilities define architecture for building, deploying, and operating autonomous agents, covering runtime, memory, identity, tools, and observability and champion adoption of

Qualifications

• 7+ years in production software development.
• 2+ years shipping LLM-based agents to production.
• Proficiency in Python and agentic frameworks.

Responsibilities

• Define architecture for autonomous agents across runtime, memory, identity, tools and observability.
• Architect long-term memory and context-management systems for multi-step engagements.
• Create and maintain MCP servers and tool integrations for agents.
• Optimize reliability, cost, latency and establish evals, tracing and guardrails.

Skills

Python

Agent framework

AWS Bedrock AgentCore

Memory architectures

Observability

Security boundaries

Prompt/context engineering

Tools

Strands

LangGraph

Claude Agent SDK

OpenAI Agents SDK

CrewAI

Job description

EPAM Systems, Inc. seeks a Chief Agentic AI Engineer to architect, deliver, and run autonomous agent systems at scale with production-grade reliability.

You will shape end-to-end agentic workflows across runtime, memory, identity, tools, and observability while raising the bar for evaluation, tracing, and guardrails. Responsibilities define architecture for building, deploying, and operating autonomous agents, covering runtime, memory, identity, tools, and observability and champion adoption of