Chief Agentic AI Engineer

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 CrewAI Working 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