# Sr. Applied Scientist, AWS Specialists and Partner Prototyping at Amazon

Amazon is hiring a Sr. Applied Scientist, AWS Specialists and Partner Prototyping in Santa Clara, United States. It pays $192k-$260k a year and Level rates it Builds AI ●●●●; you can [apply on Amazon](https://jobsbylevel.com/go/3d76389b-f9e2-46eb-8541-1eef8e3123da?utm_medium=ai-agent).

AI Level 4, AI centrality 89 out of 100. US, CA, Santa Clara.

## Details

- Company: [Amazon](https://jobsbylevel.com/companies/amazon)
- AI level: AI Level 4 (score 89 out of 100)
- Location: US, CA, Santa Clara
- Salary: $192k-$260k
- Posted: October 28, 2026
- Apply: https://jobsbylevel.com/go/3d76389b-f9e2-46eb-8541-1eef8e3123da?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=sr-applied-scientist-aws-specialists-and-partner-prototyping-at-amazon-2d826f

## Prepare for this job

The job page lists 5 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/sr-applied-scientist-aws-specialists-and-partner-prototyping-at-amazon-2d826f

## Description

Core to Amazon's DNA is its methodology around executing experiments and prototypes to find the quickest way to prove new ideas, technologies, and business models in a real-world environment. Experimentation fuels Amazon's innovation. Our team does horizon exploration. We take emerging technology, including our own inventions, build working prototypes with customers and partners, and demonstrate what becomes possible before the rest of the market gets there. Prototyping is how we do the work. Pushing the technology horizon is why we do it. If you are a highly creative problem solver who works to inspire, motivate, and define innovative solutions; are passionate about technology, understand cloud architectures and platforms, and are quick to pick up emerging technologies; are adept at working with customers to experiment with innovative approaches and validate the technical feasibility of solutions, this could be the role for you. As a Senior Applied Scientist you sit directly with customers and partners. You help them envision complex uses of AWS by building working prototypes of specific use cases, tailored to their data, devices, and systems. Engagements run in short build cycles, typically four to six weeks, and are designed to be innovative and evaluative, demonstrating the art of the possible on AWS while proving a credible path to production. You will work across the areas where we are placing our biggest bets. These shift as the technology does, but today they include: - Physical AI and autonomous robotics. World models, vision-language-action (VLA) models, cloud-based and agentic VLA, real-to-sim and sim-to-real pipelines, and agentic control of physical systems. We challenge the assumption that these models have to live only at the edge. - Autonomous scientific discovery. Self-driving labs and instrument intelligence, where agents plan, run, and interpret experiments across fleets of scientific instruments. - Agentic developer intelligence. Multi-agent systems, code agents, and automated research workflows that change how software gets built. - Scaling what we learn. Turning one-off prototypes into reusable patterns and assets the broader field can pick up and run with. You will not just apply these techniques. You will help decide which bets are worth making and prove or disprove them in the open with real customer problems. Key job responsibilities - As a key member of the AWS Specialists and Partner Prototyping team, ensure customer success through hands-on participation producing and demonstrating prototypes on the AWS platform. - Participate in deep architectural and scientific design discussions to ensure prototypes are crafted for successful deployment in the cloud and a credible path to production. - Bring applied science depth to engagements: frame the problem, select and adapt models, design experiments, and judge technical feasibility honestly, including when the answer is that an approach will not work. - Conduct one-to-few and one-to-many training sessions to transfer knowledge to prototyping customers, partners, and internal business partners. - Act as a thought leader for your area of domain expertise across AWS, and share best-practice knowledge among the community. - Author or otherwise contribute to AWS customer-facing publications such as peer reviewed position papers, blogs, and reference patterns. - Act as a technical liaison between customers, service engineering teams, and sales, carrying real-world signal back to the teams building the services. A day in the life No two engagements look the same, which is the point. A typical week might include: - Running a working session with a customer's scientists and engineers to pressure-test an idea and agree on what a prototype needs to prove. - Writing code and training or fine-tuning models in the lab, often against the customer's own data, devices, or robots. - Pairing with a prototyping SA and engagement manager, the standard pod you deliver

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Source: https://jobsbylevel.com/jobs/sr-applied-scientist-aws-specialists-and-partner-prototyping-at-amazon-2d826f

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