Lead Autonomous AI Engineer for Agentic Systems

EPAM Systems; México; On-site; MXN 1,500,000 - 2,600,000; Full time

Benefits offered by this job

Healthcare benefits

Upskilling programs

LinkedIn Learning access

Global career opportunities

Job summary

EPAM is seeking a Chief Agentic AI Engineer to design and deploy autonomous agent systems at scale. You will lead production-grade implementations spanning runtime, memory, identity, tools, and observability, leveraging AWS Bedrock AgentCore and partner SDKs.

You will collaborate with multinational teams, shape guardrails and evals, and ensure secure, cost-efficient, and reliable agent reasoning across complex workflows.

Qualifications

• 7+ years of production software experience, incl. 2+ years shipping LLM-based agents to production.
• Proficient in Python; hands-on experience with agentic frameworks.
• Knowledge of AWS Bedrock AgentCore primitives: Runtime, Memory, Identity, Gateway, Observability.
• Strong understanding of MCP, tool use, prompt/context engineering, memory architectures, and agent evaluation.
• Demonstrated capability to design for production, including observability, guardrails, retries, cost control, and security boundaries.
• English proficiency at B2 level or higher.

Responsibilities

• Define the architecture for building, deploying, and operating autonomous agents across runtime, memory, identity, tools, and observability
• Champion the use of AWS Bedrock AgentCore and the Strands SDK across agent harnesses and production deployments
• Architect long-term memory and context-management systems that remain robust across multi-step engagements
• Develop and maintain MCP servers and tool integrations agents call, including recon, scanners, exploit primitives, and custom internal services
• Optimize reliability, cost, and latency of agent reasoning
• Establish standards for evals, tracing, and guardrails

Skills

LLM-based agents production

Python

Agent frameworks

Observability / production readiness

Security awareness

English proficiency (B2+)

Tools

Strands SDK

LangGraph

Claude Agent SDK

OpenAI Agent SDK

CrewAI

AWS Bedrock AgentCore

Job description

EPAM is seeking a Chief Agentic AI Engineer to design and deploy autonomous agent systems at scale. You will lead production-grade implementations spanning runtime, memory, identity, tools, and observability, leveraging AWS Bedrock AgentCore and partner SDKs.

You will collaborate with multinational teams, shape guardrails and evals, and ensure secure, cost-efficient, and reliable agent reasoning across complex workflows.