Agentic Engineer - Security, US Amazon Dedicated Cloud Security

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.

Key job 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.

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. Basic

Qualifications

• - 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 Qualifications

• - 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
• [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
• [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