Lead Autonomous Agent Architect

EPAM Systems

Chile

On-site

CLP 12,000,000 - 18,000,000

Full time

3 days ago
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Benefits offered by this job

Healthcare benefits
Paid time off
Upskilling programs
Global career opportunities
Volunteer opportunities
Learning library access

Job summary

EPAM Systems 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 include defining architecture for agents, championing Bedrock AgentCore adoption, designing memory systems, building MCP servers and tool integrations, and optimizing

Qualifications

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

Responsibilities

  • Define architecture for autonomous agents across runtime, memory, identity, tools, and observability.
  • Champion adoption of AWS Bedrock AgentCore and Strands Agents SDK in production.
  • Design long-term memory and context-management for multi-step engagements.
  • Create and maintain MCP servers and tool integrations for agents.
  • Improve reliability, cost, and latency of agent reasoning with standards for evals, tracing, and guardrails.

Skills

Python
LLM Agents
Agent frameworks
Observability
Security boundaries

Tools

AWS Bedrock AgentCore
LangGraph
Claude Agent SDK
OpenAI Agents SDK
CrewAI

Job description

EPAM Systems 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 include defining architecture for agents, championing Bedrock AgentCore adoption, designing memory systems, building MCP servers and tool integrations, and optimizing

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