Evaluate and integrate agentic frameworks, adapting them for classified environments.
Partner with security engineers to identify processes suitable for agent-based automation.
A day in the life
You will own security-centric AI outcomes: setting technical direction, identifying the highest-value opportunities, defining measurable success criteria, and ensuring that agentic capabilities improve security and engineering results rather than simply increase automation. You will work across developers, security engineers, and other technical partners to understand existing development processes and determine which work can be safely and effectively automated with agentic AI. You will distinguish those opportunities from problems better solved through conventional software or deterministic automation, build alignment around priorities, and drive selected initiatives from concept through deployment and adoption.
You will prototype agentic workflows and lead other engineers in turning successful prototypes into maintainable production capabilities. This includes defining architecture and engineering standards, decomposing work across agents and traditional components, providing agents with appropriate context and tools, establishing permissions and human approval boundaries, and ensuring the resulting automation has meaningful tests, operational measures, and accountable owners.
About the team
Diverse Experiences
Amazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why Amazon Security?
At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.
Inclusive Team Culture
In Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.
Training & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.
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
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.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, MD, Jessup - 168,100.00 - 227,400.00 USD annually
USA, VA, Arlington - 168,100.00 - 227,400.00 USD annually
USA, VA, Herndon - 168,100.00 - 227,400.00 USD annually
