Head of Autonomous Agent Systems & AI Engineering

EPAM Systems, Inc.; Colombia; A distancia; COP 397.390.000 - 695.433.000; Jornada completa

Descripción de la vacante

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

You will shape end-to-end agent workflows across runtime, memory, identity, tools, and observability while elevating evaluation, tracing, and guardrails. You will lead adoption of AWS Bedrock AgentCore and Strands SDK, design long-term memory architectures, and drive tool integrations.

Formación

• 7+ years of overall software experience.
• 2+ years shipping LLM-based agents to production.
• Proficient in Python and agentic frameworks.
• Strong knowledge of memory, tool-use, prompt/context engineering, and evaluation.
• Experience with observability, guardrails, retries, and security boundaries.

Responsabilidades

• Define architecture for autonomous agents across runtime, memory, identity, tools and observability.
• Champion adoption of AWS Bedrock AgentCore and Strands across deployments.
• Architect long-term memory and context management for multi-step engagements.
• Create MCP servers and tool integrations agents call, including recon, scanners, exploit primitives, and internal services.
• Optimize reliability, cost, latency of agent reasoning and establish evals, tracing, and guardrails.

Conocimientos

Python

LLM agents

Agent framework

Observability

Security boundaries

Memory architectures

English (B2)

Herramientas

Strands

LangGraph

Claude Agent SDK

OpenAI Agents SDK

CrewAI

AWS Bedrock AgentCore

Descripción del empleo

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

You will shape end-to-end agent workflows across runtime, memory, identity, tools, and observability while elevating evaluation, tracing, and guardrails. You will lead adoption of AWS Bedrock AgentCore and Strands SDK, design long-term memory architectures, and drive tool integrations.