We are seeking a Chief Agentic AI Engineer to build production-grade autonomous agent systems and drive architecture across runtime, memory, identity, tools, and observability.

You will lead critical technical decisions, guide adoption of AWS Bedrock Agent

Core and Strands, and set standards for MCP-based tooling, evaluations, and guardrails.

Responsibilities

Architect end-to-end platforms for building, deploying, and operating autonomous agents across runtime, memory, identity, tools, and observability

Lead adoption of AWS Bedrock Agent

Core and the Strands Agents SDK to power agent harnesses and production launches

Design durable long-term memory and context-management capabilities that support multi-step engagements

Build and sustain MCP servers and tool integrations agents depend on, including recon tools, scanners, exploit primitives, and internal custom services

Optimize agent reasoning to improve reliability, cost-efficiency, and speed

Define standards for evaluations, tracing, and guardrails

Requirements

Proven production software experience (7+ years), including 2+ year deploying LLM-based agents into production

Advanced Python skills with hands-on use of agentic frameworks such as Strands, Lang

Graph, Claude Agent SDK, OpenAI Agents SDK,



or CrewAIWorking knowledge of AWS Bedrock Agent

Core components (Runtime, Memory, Identity, Gateway, Observability) or the ability to ramp up quickly

Strong understanding of MCP, tool use, prompt/context engineering, memory architectures, and agent evaluation approaches

Demonstrated ability to design production-ready systems with observability, guardrails, retry logic, cost management, and security boundaries

English proficiency at B2 (Upper-Intermediate) level or higher

Nice to have

Experience with application security, web pentesting, or red-teaming

Familiarity with 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 Linked

In Learning library and 22,000+ courses

General career opportunities

Volunteer and community involvement opportunitiesEPAM Employee Groups

Award-winning culture recognized by Glassdoor, Newsweek and Linked

In #J-18808-Ljbffr

📌 Chief Agentic AI Engineer (Argentina)
🏢 EPAM Systems
📍 Argentina