Job description

As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. On Agentic WorkSpaces, our vision is to enable AI agents to work the way humans do: with access to real applications, real interfaces, and real computing environments. For enterprises to trust autonomous agents with their essential business applications, they need to see what agents did, control what agents can do, and prove both to auditors. Our team builds the systems that make this possible. We record every agent desktop action as a reviewable visual audit trail, enforce policy on every tool call before it executes, pause agents for human approval on sensitive actions, and package the evidence for compliance frameworks. We are seeking an exceptional Senior SDE to own the identity architecture at the foundation of this system. When an agent acts inside a user's desktop session, it inherits that user's identity. Every downstream system then attributes the agent's actions to the human. Solving this means deciding how agent identity is established, propagated across protocol and service boundaries, and preserved through to policy enforcement and audit. These decisions determine whether the rest of the governance stack — attribution, enforcement, approval, evidence — can be trusted at all. You will make foundational architectural calls, write code, mentor the engineers around you, and drive consensus with partner teams whose identity models were built for humans. This is a high-visibility, high-ownership role on a small team solving problems with no established playbook. If you do your best work in ambiguity and want your technical decisions to set the direction for how enterprises govern AI agents, this team is for you. Key job responsibilities * Own the end-to-end identity architecture for agent governance: how agent identity is established, propagated, and preserved across desktop sessions, protocol boundaries, and downstream services * Design attribution and audit systems that distinguish agent actions from human actions within the same session, at the infrastructure level where agents cannot tamper with the record * Own policy enforcement architecture, including authorization models that evaluate agent actions before they execute * Evaluate build-vs-leverage decisions across identity and authorization primitives, including assessments of existing internal and external components for reuse * Drive technical consensus with partner teams whose identity and permission models predate autonomous agents * Mentor and develop junior and mid-level engineers through code reviews and design reviews * Communicate architectural decisions and tradeoffs to senior leadership and non-technical stakeholders A day in the life Your mornings are usually free for focus work — architecture, deep dives, and hard problems. Around 11 you'll have standup, then grab lunch with the team (if you like) before the afternoon opens up for design reviews, CR feedback, or unblocking an engineer. Some days you're deep in code; others you're presenting to leadership. You're the person who knows the system most deeply — and you work to ensure you're never the bottleneck. The problems are hard and the stakes are high — but we believe we can move fast, do exceptional work, and have a full life outside of it. We're a small team building two greenfield projects within Agentic WorkSpaces. We're moving fast enough that our team name is still taking shape — but our engineering culture is well established. Here's what you can expect from AWS: About the team ABOUT AWS: Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred 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 AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. 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 in the cloud. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship and 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, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. - 5+ years of non-internship professional software development experience - 5+ 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 - 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 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 amazon.jobs 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 amazon.jobs . USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually

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Key job responsibilities
Own the end-to-end identity architecture for agent governance: how agent identity is established, propagated, and preserved across desktop sessions, protocol boundaries, and downstream services
Design attribution and audit systems that distinguish agent actions from human actions within the same session, at the infrastructure level where agents cannot tamper with the record
Own policy enforcement architecture, including authorization models that evaluate agent actions before they execute
Evaluate build-vs-leverage decisions across identity and authorization primitives, including assessments of existing internal and external components for reuse
Drive technical consensus with partner teams whose identity and permission models predate autonomous agents
Mentor and develop junior and mid-level engineers through code reviews and design reviews
Communicate architectural decisions and tradeoffs to senior leadership and non-technical stakeholders
A day in the life
About the team

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awsairest

Platform: amazon
Effort: medium

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Health Insurance

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Vision

401(K)

Paid Time Off

Parental Leave