Software Development Engineer (AI)

TL;DR

Software Development Engineer (AI): Designing and building AI-powered experiences for Amazon Quick Desktop, with an accent on end-to-end lifecycle from prompt engineering and orchestration logic to integration with foundation models, external data sources, and the desktop runtime. Focus on generating high-quality research reports, reliable well-formatted artifacts, and images that match user intent while ensuring responsible, least-privilege safety architecture.

Location: USA, WA, Seattle

Salary: 143,700.00–194,400.00 USD annually

Company

Amazon AI builds 1P AI capabilities for Amazon Quick Desktop, including deep research, artifact generation, and image generation.

What you will do

• Design and build AI-powered user experiences for Amazon Quick Desktop.
• Own the end-to-end lifecycle of AI capabilities, from prompt engineering and orchestration logic to integration with foundation models and external data sources.
• Develop reliable, well-formatted artifact generation (documents, presentations, visualizations) from natural language.
• Generate high-quality research reports from ambiguous user intent.
• Generate images aligned with user creative intent (style, composition, fidelity).
• Collaborate with scientists, frontend engineers, and customers to ship delightful, trustworthy experiences.

Requirements

• 3+ years of non-internship professional software development experience.
• 2+ years of non-internship design or architecture experience (design patterns, reliability, scaling) for new and existing systems.
• 1+ years of software development engineer or related experience.
• 1+ years designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications using C#, C++, Java, or Perl.
• 1+ years of Object Oriented Design experience.
• Bachelor’s degree (or foreign equivalent) in Computer Science, Engineering, Mathematics, or a related field; plus experience programming with at least one software programming language.

Culture & Benefits

• High-ownership team building AI capabilities from the ground up, operating with a startup-like mindset.
• Least-privilege safety architecture with transparency and user control over what the AI can see and do.
• Comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave.
• Sign-on payments and restricted stock units (RSUs) as part of the compensation package.
• Work-life balance focus with flexibility in working culture.

Hiring process

• Interviews and evaluation based on experience and qualifications, with support available for workplace accommodations during the process.