Lead Agentic AI Engineer

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

Benefits offered by this job

Healthcare benefits

Paid time off

Upskilling & certification

Job summary

EPAM Systems seeks a Lead Agentic AI Engineer to architect and run autonomous agent systems at scale for production AI deployments. You will steer runtime, memory, identity, tools, and observability using AWS Bedrock AgentCore and agentic frameworks.

Responsibilities include designing end-to-end architectures, leading framework adoption across deployments, and building robust memory/context mechanisms while optimizing reliability and cost. Collaboration with global teams is essential.

Qualifications

• 5+ years of production software experience.
• 2+ years delivering LLM-based agents to production.
• Proficient Python and agent frameworks.

Responsibilities

• Design end-to-end autonomous agents architecture across runtime, memory and tools.
• Lead adoption of agentic frameworks for production deployments.
• Architect memory and context management robust across multi-step engagements.
• Ensure reliability, observability, and cost efficiency in agent systems.

Tools

Strands

LangGraph

Claude Agent SDK

OpenAI Agents SDK

CrewAI

AWS Bedrock AgentCore

Job description

We are seeking a Lead Agentic AI Engineer to architect and run autonomous agent systems at scale for production AI deployments. You will guide decisions across runtime, memory, identity, tools, and observability using AWS Bedrock AgentCore and agentic frameworks. Partner with engineers to raise reliability, safety, and cost efficiency.ResponsibilitiesDesign end-to-end architecture for building, deploying, and operating autonomous agents across runtime, memory, identity, tools, and observabilityLead adoption of AWS Bedrock AgentCore and the Strands Agents SDK across agent harnesses and production deploymentsArchitect long-term memory and context-management mechanisms that remain robust across multi-step engagementsBuild and curate MCP servers and tool integrations agents call, including recon, scanners, exploit primitives, and custom internal servicesOptimize reliability, cost, and latency of agent reasoningDefine standards for evals, tracing, and guardrailsRequirementsProven experience building production software for 5+ years, including 2+ years delivering LLM-based agents into productionHigh proficiency in Python plus 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 (Runtime, Memory, Identity, Gateway, Observability) or demonstrated ability to ramp up quicklySolid understanding of MCP, tool use, prompt/context engineering, memory architectures, and agent evaluationDemonstrated ability to design for production, including observability, guardrails, retries, cost control, and security boundariesEnglish proficiency at B2 (Upper-Intermediate) level or higherNice to haveBackground in application security, web pentesting, or red-teamingExperience with 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.