We build 1P AI capabilities - Deep Research, Artifact Generation, and Image Generation - for Amazon Quick Desktop, running within a unified cloud runtime. We're transforming how knowledge workers interact with an intelligent desktop companion that's connected to their messages, calendar, files, and workflows.
As an SDE on this team, you'll design and build the AI-powered experiences that users interact with daily. You'll own the end-to-end lifecycle of these capabilities - from prompt engineering and orchestration logic to integration with foundation models, external data sources, and the desktop runtime. The problems are varied and interesting: how do you generate a high-quality research report from ambiguous user intent? How do you produce reliable, well-formatted artifacts (documents, presentations, visualizations) from natural language? How do you generate images that match a user's creative intent with the right style, composition, and fidelity?
About the team
We're a high-ownership team building AI capabilities for Amazon Quick from the ground up. Our philosophy is simple: we use what we build. Every day, the team relies on our own product to manage tasks, triage notifications, draft documents, and stay organized - if something doesn't work for us, we fix it before it ships to anyone else.
The team spans applied science and engineering, and we operate more like a startup than a large org. You'll work closely with scientists on memory systems and retrieval, with frontend engineers on the client experience, and directly with customers who use the product daily. We value end-to-end ownership, strong opinions loosely held, and shipping delightful experiences over shipping features.
We believe trust is earned through safety - our architecture is designed with least-privilege principles from the ground up, giving users full transparency and control over what the AI can see and do. If you care about building AI systems that are genuinely useful and responsible, you'll fit right in.
BASIC QUALIFICATIONS
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 1+ years of software development engineer or related occupational experience
- 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
- 1+ years of Object Oriented Design experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- Experience programming with at least one software programming language
PREFERRED QUALIFICATIONS
- 3+ 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 - 143,700.00 - 194,400.00 USD annually