Chief Agentic AI Engineer: Build Autonomous Agents

EPAM Systems; Argentina; A distancia; ARS 3.000.000 - 6.000.000; Jornada completa

Descripción de la vacante

EPAM Systems, Inc. seeks a Chief Agentic AI Engineer to architect production-grade autonomous agents across runtime, memory, identity, tools and observability. You will guide adoption of AWS Bedrock AgentCore and Strands, shaping long-term memory and context management.

You will build MCP-based servers, integrate agent tools, and optimize reasoning for reliability, cost, and speed, while establishing guardrails and evaluation standards for complex multi-step engagements.

Formación

• 7+ years of production software experience.
• 2+ years deploying LLM-based agents in production.
• Strong Python and cloud/native stack knowledge.

Responsabilidades

• Architect end-to-end autonomous agent platforms across runtime, memory, identity, tools, and observability.
• Lead adoption of AWS Bedrock AgentCore and Strands SDK for production launches.
• Design durable memory and context management for multi-step engagements.
• Build MCP servers and tool integrations used by agents.
• Optimize agent reasoning for reliability, cost, and speed.
• Define evaluations, tracing, and guardrails standards.

Conocimientos

Python

LLM Agents deployment

Agent frameworks

System architecture

Observability

Security & guardrails

English (B2+)

Herramientas

AWS Bedrock AgentCore

MCP

Tool integrations

Sandboxed execution knowledge

Descripción del empleo

EPAM Systems, Inc. seeks a Chief Agentic AI Engineer to architect production-grade autonomous agents across runtime, memory, identity, tools and observability. You will guide adoption of AWS Bedrock AgentCore and Strands, shaping long-term memory and context management.

You will build MCP-based servers, integrate agent tools, and optimize reasoning for reliability, cost, and speed, while establishing guardrails and evaluation standards for complex multi-step engagements.