Chief Agentic AI Engineer

EPAM Systems; Colombia; Remote; COP 180,000,000 - 300,000,000; Full time

Job summary

EPAM Systems seeks a Chief Agentic AI Engineer to design and scale autonomous agents 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.

You will architect long-term memory and context-management, develop MCP servers and tool integrations, and optimize performance and cost of agent reasoning across multi-step engagements.

Qualifications

• 7+ years building production software with 2+ years shipping LLM-based agents.
• Expert Python and hands-on use of agent frameworks (Strands, LangGraph, OpenAI Agents SDK, etc.).
• Experience with AWS Bedrock AgentCore primitives and production observability.
• Deep understanding of memory architectures, tool use, and agent evaluation.
• Design for production: guardrails, retries, cost control, and security boundaries.
• English at B2 level or higher.

Responsibilities

• Define architecture for autonomous agents across runtime, memory, identity, tools, and observability.
• Lead deployments using AWS Bedrock AgentCore and agent harnesses.
• Architect long-term memory and context-management for multi-step engagements.
• Develop MCP servers and tool integrations, including recon and scanners.
• Optimize reliability, cost, and latency of agent reasoning.
• Establish evals, tracing, and guardrails standards.

Skills

Python

Agent Frameworks

AWS Bedrock

Memory architectures

Observability

English proficiency

LLM-based agent deployment

Tools

LangGraph

Claude Agent SDK

OpenAI Agents SDK

CrewAI

Strands

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.ResponsibilitiesDefine the architecture for building, deploying, and operating autonomous agents across runtime, memory, identity, tools, and observabilityChampion the use of AWS Bedrock AgentCore and the Strands Agents SDK across agent harnesses and production deploymentsArchitect long-term memory and context-management systems that remain robust across multi-step engagementsDevelop and maintain MCP servers and tool integrations agents call, including recon, scanners, exploit primitives, and custom internal servicesOptimize reliability, cost, and latency of agent reasoningEstablish standards for evals, tracing, and guardrailsRequirements7+ years of experience building production software, including 2+ year shipping LLM-based agents to productionExpert proficiency in Python and hands-on use of an agentic framework such as Strands, LangGraph, Claude Agent SDK, OpenAI Agents SDK, or CrewAIWorking knowledge of AWS Bedrock AgentCore primitives, including Runtime, Memory, Identity, Gateway, and Observability, or demonstrated ability to ramp up quicklyDeep understanding of MCP, tool use, prompt/context engineering, memory architectures, and agent evaluationDemonstrated capability to design for production, including observability, guardrails, retries, cost control, and security boundariesEnglish proficiency at B2 level or higherNice to havePrior background in application security, web pentesting, or red-teamingExposure to sandboxed code execution, browser agents, or autonomous tool orchestrationWe offerInternational projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedInEPAM 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.