Chief Agentic AI Engineer

EPAM Systems; Chile; On-site; CLP 12,000,000 - 18,000,000; Full time

Benefits offered by this job

Healthcare benefits

Global career opportunities

Paid time off and sick leave

Upskilling and certification courses

LinkedIn Learning access

Job summary

EPAM Systems seeks a seasoned Chief Agentic AI Engineer to design and deploy scalable autonomous agent systems across runtime, memory, identity, tools, and observability. You will drive production-grade deployments using AWS Bedrock AgentCore and agentic frameworks to ensure reliability and robust guardrails.

Responsibilities include architecting agent ecosystems, memory management, and tool integrations, while optimizing cost, latency, and observability.

Qualifications

• 7+ years of experience building production software.
• 2+ years shipping LLM-based agents to production.
• Expert proficiency in Python and agentic frameworks.
• Experience with AWS Bedrock AgentCore primitives.
• Deep understanding of MCP, tool use, memory architectures, and agent evaluation.
• English proficiency at B2 level or higher.

Responsibilities

• Define architecture for autonomous agents across runtime, memory, identity, tools, observability.
• Champion Strands, LangGraph, Claude Agent SDK, OpenAI Agents SDK or CrewAI in deployments.
• Architect long-term memory and context-management for multi-step engagements.
• Develop and maintain MCP servers and tool integrations accessed by agents.
• Optimize reliability, cost, and latency of agent reasoning.
• Establish standards for evals, tracing and guardrails.

Skills

Python

Agent frameworks

AWS Bedrock AgentCore

Memory architectures

Observability and guardrails

Prompt engineering

Production software design

English communication (B2)

Tools

Strands

LangGraph

Claude Agent SDK

OpenAI Agents SDK

CrewAI

AWS Bedrock AgentCore primitives

Job description

We are looking for a Chief Agentic AI Engineer to build autonomous agent systems at scale and steer decisions across runtime, memory, identity, tools, and observability. You will lead production-grade deployments using AWS Bedrock AgentCore and agentic frameworks, shaping guardrails, evals, and reliability.

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 Agents 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

Requirements

• 7+ years of experience building production software, including 2+ year shipping LLM-based agents to production
• Expert proficiency in Python and hands-on use of an agentic framework such as Strands, LangGraph, Claude Agent SDK, OpenAI Agents SDK, or CrewAI
• Working knowledge of AWS Bedrock AgentCore primitives, including Runtime, Memory, Identity, Gateway, and Observability, or demonstrated ability to ramp up quickly
• Deep 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

Nice to have

• Prior background in application security, web pentesting, or red-teaming
• Exposure to sandboxed code execution, browser agents, or autonomous tool orchestration

We offer

• International projects with top brands
• Work with global teams of highly skilled, diverse peers
• Healthcare benefits
• Employee financial programs
• Paid time off and sick leave
• Upskilling, reskilling and certification courses
• Unlimited access to the LinkedIn Learning library and 22,000+ courses
• Global career opportunities
• Volunteer and community involvement opportunities
• EPAM Employee Groups
• Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.