# Principal Product Designer, AWS Applied AI Solutions at Amazon

Amazon is hiring a Principal Product Designer, AWS Applied AI Solutions in Seattle, United States. It pays $180k-$244k a year and Level rates it Little AI ●○○○; you can [apply on Amazon](https://jobsbylevel.com/go/3a4e18c8-0efa-42d6-928d-8de59030c7a1?utm_medium=ai-agent).

AI Level 1, AI centrality 10 out of 100. US, WA, Seattle.

## Details

- Company: [Amazon](https://jobsbylevel.com/companies/amazon)
- AI level: AI Level 1 (score 10 out of 100)
- Location: US, WA, Seattle
- Salary: $180k-$244k
- Posted: November 3, 2026
- Apply: https://jobsbylevel.com/go/3a4e18c8-0efa-42d6-928d-8de59030c7a1?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=principal-product-designer-aws-applied-ai-solutions-at-amazon-05ee6c

## Description

Do you want your design work to decide what gets built, rather than describe it afterward? Amazon builds artificial intelligence systems that scientists and clinicians use to discover new medicines and run clinical trials. Better software here has an unusually direct consequence: therapies reach patients sooner, and scientists spend their time on science. You will own the end-to-end user experience point of view across that portfolio — from regulated clinical research through computational drug discovery — defining how a scientist works alongside an artificial intelligence teammate rather than operating a tool and proving it with working prototypes that become the specification engineering leverages to build. Key job responsibilities Own and defend the user experience point of view across the portfolio, working as a peer to product management, applied science, engineering and architecture rather than downstream of finished requirements. Define the interaction model for software that acts on a person's behalf — how it shows its evidence, where the person keeps control, what it does when it is wrong, and how work is handed back. Direct and build high-fidelity working prototypes, and use them as the shared specification that product and engineering develop against. Mentor and develop other designers across the portfolio through mentoring and shared patterns. A day in the life You spend a morning with a computational biologist. She tells you the product output looks plausible and she does not trust it. This is the most consequential thing anyone will say all quarter, and the rest of your week goes into turning it into something the product does differently. Later that week you present one working flow and three open questions to leadership, arguing that products built separately should reach a customer as one. How that lands decides what gets funded. Another day you review a prototype of a pattern you specified. About the team Life Sciences, within AWS Applied AI Solutions, supports AI products for drug discovery and clinical research. Small team, large surface. Arguments are settled by building and inspecting: prototypes are the primary artifact and the engineering handoff. Regulators shape the products and how research is run, and design has carried much of the product direction, making the role load-bearing, not advisory. UX is horizontal: you succeed when a partner team ships your work. The systems behave like a capable colleague, not a tool, knowing when to act, when to ask, and how to show their work. Basic qualifications 10+ years of experience as a practicing product or user experience designer. Experience designing data-dense enterprise, scientific or technical software. Experience owning design direction for multiple products or a product portfolio simultaneously. Experience designing products built on large language models or multi-step automated agents, including how such a system behaves when it fails. Experience designing for regulated clinical research, drug discovery, or an equivalently regulated scientific domain. Experience building high-fidelity interactive prototypes. Experience presenting design work to senior business leadership. Bachelor's degree, or 10 years of professional design experience in lieu of a degree. Preferred qualifications Experience in both regulated clinical research and drug discovery, with the ability to move between those audiences without a translator. Experience partnering with machine learning or applied science teams on model behavior and evaluation. Experience designing for reproducible analysis, traceable evidence and visible uncertainty, where a convincing output is not the same as a valid result. Familiarity with computational protein or antibody design tooling, or with clinical data standards for study data, analysis data and reporting outputs. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/principal-product-designer-aws-applied-ai-solutions-at-amazon-05ee6c

Source: https://jobsbylevel.com/jobs/principal-product-designer-aws-applied-ai-solutions-at-amazon-05ee6c

## Cite this page

Level. https://jobsbylevel.com/jobs/principal-product-designer-aws-applied-ai-solutions-at-amazon-05ee6c.

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