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:
BASIC QUALIFICATIONS
- 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
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
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, WA, Seattle - 168,100.00 - 227,400.00 USD annually
