AmazonPosted 2w ago

Senior UX Designer, Enterprise Engineering

Senior UX Designer, Enterprise Engineering at Amazon scores 46 out of 100 on AI centrality, which makes it AI Level 2 of 4 (Uses AI) on this board. The level measures how much of the work is AI, not seniority.

US, WA, Seattleseniorfull-time$138k-$186k

AI in this role

prompt-engineeringai-agentsai-evaluation

The Enterprise Engineering (EE) team builds the internal productivity tools and capabilities that power Amazon. Our products reach every part of the company, and are changing the employee experience around how work gets done in the AI era. Most of the interaction patterns we need haven't been invented yet. We need your craft, your builder instincts, and your fluency with AI to help define what comes next.

We are looking for a Senior UX Designer who will own product design end to end for AI-native tools used across Amazon. You'll work in spec-driven teams alongside engineers, PMs, AI specialists, researchers, and customers. You'll design for model capabilities that are changing in real time, prototype by building, and define how Amazonians (executives, engineers, non-technical staff) experience their daily tools. The visibility is high, the problem space is wide open, and design has a real seat at the table.

The right person for this role is already AI-native in how they work. AI is part of your design practice now, not something you're planning to pick up. You pay attention to where model capabilities are heading and design for what's coming, not just what's shipping today. You'd rather build a working prototype than present a deck. You do your best work when the problem is fuzzy, the patterns are uncharted, and the upside is enormous.

If you're looking for a role where you define new conventions rather than follow existing ones, where a small team punches well above its weight because AI makes that possible, and where your work shapes the daily experience of an entire company, we'd love to talk to you.

Key job responsibilities
• Own product design end to end, from the first prototype to what ships, for AI-native tools used across Amazon
• Invent interaction patterns that don't have a playbook yet: how people direct agents, trust them, correct them, and work alongside them
• Prototype in code (HTML/CSS/JS), AI-assisted dev tools, and whatever gets a real thing in front of real users fastest
• Build a new design system using AI, extracting tokens, components, and patterns from product work as it ships
• Set product direction alongside PMs, engineers, AI specialists, and customers. On a team this small, design has a real say in what gets built
• Present design work and influence product direction with stakeholders and leadership across the organization
• Ship it, watch people use it, change it. Repeat

About the team
We're a small design team that experiments with how design gets done, not just what it produces. We're actively reshaping our own process around agentic workflows, AI-assisted development, and a product lifecycle that looks nothing like the one most enterprise teams follow. The way we research, spec, prototype, test, and ship is itself a work in progress, and we treat it that way on purpose.

Basic qualifications

- 7+ years of UX designer or interaction designer experience
- Have an online portfolio or samples of work on resume, demonstrating experience creating great end-to-end, user-centered design solutions and patterns, across desktop and mobile devices
- 1+ years of working with or evaluating AI systems experience
- Experience presenting to and effectively advising senior leaders outside of design
- Deep experience architecting design systems (tokens, components, patterns, documentation)
- Proficiency in code-based prototyping (HTML/CSS/JS) or AI-assisted development tools
- Technical understanding of LLMs and how they inform product design decisions
- Degree in Design, HCI, or a related field (or equivalent practical experience)

Preferred qualifications

- Daily use of AI tools (coding assistants, generative design tools, LLMs) in your design workflow
- Experience using AI to accelerate design system creation (pattern extraction, component generation, documentation)
- Experience with enterprise or internal tools at scale (100K+ users)
- Familiarity with spec-driven development, prompt engineering, model evaluation, or human-AI interaction design
- Experience designing novel interaction patterns: multi-agent orchestration, trust and transparency patterns, AI reasoning interfaces, or agentic workflows

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 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.

USA, WA, Seattle - 137,800.00 - 186,400.00 USD annually

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Skills and AI tools this role asks for

Prompt EngineeringAI AgentsAI Evaluation

Questions you could be asked

How do you structure and test a prompt to get consistent output from a language model?
How do you decide when an AI agent can act on its own versus asking for approval first?
How do you decide that one model's output is better than another's for a given task?
This role expects you to use AI tools as part of the job. Which ones have you used, and for what?
Tell me about a time an AI tool got something wrong. How did you catch it?

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List these exact terms on your resume: Prompt Engineering, AI Agents, and AI Evaluation. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Put the AI tool in a bullet point about what you did, not just in a skills list — this role treats it as a required part of the job.

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