About the job
Amazon's Security team is looking for a Senior Agentic AI Engineer to design and build agent-based systems that enable the security team to operate at scale on a first-of-its-kind AI Factory. This is a greenfield opportunity: we are building an entirely new security program on a novel platform with no inherited tooling or automation. We expect our teams to be building agent-first, using teams of agents for delivery across detection, response, compliance, and operational workflows. You will architect and implement multi-agent systems that decompose complex security processes into coordinated autonomous workflows. We value strong process decomposition skills, production-quality engineering, and the ability to design systems that operate reliably in disconnected, high-security environments.
This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance with polygraph.
Responsibilities
• Architect and build multi-agent systems for security operations, detection, compliance, and workflow automation.
• Decompose complex security processes into coordinated agent workflows.
• Design reliable agent orchestration patterns for high-security, air-gapped environments.
• Implement robust error handling, observability, and human-in-the-loop controls for autonomous systems.
• Define standards and patterns for agent development across the security team.
• Evaluate and integrate agentic frameworks, adapting them for classified environments.
• Partner with security engineers to identify processes suitable for agent-based automation.
Qualifications
Minimum
- 6+ years of non-internship professional software development experience
- 6+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- Demonstrated experience building applications or workflows using large language models, including tool use, structured outputs, retrieval, or agentic execution.
- Current, active US Government Security Clearance of TS/SCI with Polygraph
Preferred
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
- Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders
- Experience designing or operating production agent teams or multi-agent systems, including role specialization, delegation, routing, shared context, coordination, conflict resolution, and termination conditions.
- Experience with one or more agentic frameworks or protocols, such as LangGraph, Semantic Kernel, AutoGen, CrewAI, Strands Agents, the Model Context Protocol, or equivalent internally developed systems.
- Experience building agent harnesses that combine instructions, policies, tools, retrieval, memory, permissions, execution environments, and evaluation mechanisms.
- Knowledge of security threats specific to LLM and agent systems, including prompt injection, indirect prompt injection, tool misuse, confused-deputy behavior, excessive agency, sensitive-data disclosure, memory poisoning, supply-chain compromise, and evaluation manipulation.
- Experience creating tests and evaluations for nondeterministic systems, including quality criteria, representative test cases, failure analysis, regression testing, and human review.
- Experience operating or troubleshooting software through logs, metrics, traces, alerts, and structured execution records.
- Ability to evaluate architectural trade-offs involving security, reliability, latency, cost, scalability, and maintainability.
- Ability to rapidly prototype solutions and turn successful prototypes into maintainable, documented engineering systems.