[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Amazon jobs](https://jobs.opennash.com/companies/amazon/) · [Search jobs](/search/) Amazon · Seattle, WA # Applied Scientist, Applied AI Solutions US, WA, Seattle Research & Science Listed on Amazon’s official careers site. Posted July 15, 2026. Check that it is still open and apply there. [Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10475578/applied-scientist-applied-ai-solutions) [OpenNash Jobs](https://jobs.opennash.com/) / [Amazon](https://jobs.opennash.com/companies/amazon/) / Applied Scientist, Applied AI Solutions ## Job description AWS Applied AI Solutions (AAIS) is building toward a future where every business innovates with Amazon AI teammates. To get there, we build AI solutions that improve human capabilities and transform entire business functions. We create end-to-end products that surprise and delight out-of-the-box, making complex things easy and hard things possible, with no cloud experience required. We start with customers who embrace the future and build bridges to meet the rest where they are. We pursue ambitious opportunities with conviction, and we are looking for builders who share that mindset. We're building applied AI solutions that businesses love and trust. Our ambition is to become the partner companies rely on to run their business every day—putting AI to work to deliver better customer experiences, operational excellence, and faster innovation. We're a fast-moving scrappy team building a new agentic product from the ground up. If bias for action is your favorite leadership principle you'll fit right in. The Role We're seeking a talented Senior Applied Scientist with expertise in large language models agentic systems and foundational models. You will be responsible for building the state-of-the-art multi-agent system using a handful of methods including fine-tuning reinforcement learning etc. You'll accelerate our customer-facing features contribute to our collaborative and innovative culture and bring state-of-the-art applied research that raises the bar for the entire team. ### Key job responsibilities - Drive end-to-end GenAI projects with high complexity and ambiguity from conception to production - Build optimize and deploy ML models while collaborating with software engineers for productionization - Research innovative machine learning approaches and identify new opportunities for GenAI applications - Perform hands-on analysis and modeling of large datasets to develop actionable insights - Establish scalable automated processes for data analysis model development and validation - Present results to senior leadership and collaborate with cross-functional teams ### About the team Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity and AmazeCon conferences, inspire us to never stop embracing our uniqueness. We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. ## At a glance - Posted by the employer: Jul 15, 2026 - First seen by OpenNash: Oct 11, 2026 - Last checked: Oct 18, 2026 - Listed for: 95 days - Location: US, WA, Seattle[Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10475578/applied-scientist-applied-ai-solutions) ## More jobs at Amazon ### [2027 Research Science Internship - United States, PhD Student Science Recruiting](https://jobs.opennash.com/companies/amazon/jobs/c6b2426e856700039aad/) US, WA, Seattle ### [Applied Scientist](https://jobs.opennash.com/companies/amazon/jobs/f0aed8e58d7b1e914fe3/) US, WA, Seattle ### [Applied Scientist, Customer Experience and Business Trends](https://jobs.opennash.com/companies/amazon/jobs/a059390fa595724def2b/) US, WA, Seattle ### [Applied Scientist, Prime Video Personalization and Discovery, Prime Video Personalization & Discovery](https://jobs.opennash.com/companies/amazon/jobs/69664ee35787aa2881d3/) US, WA, Seattle ### [Applied Scientist - GenAI, Trust and Store Integrity Science](https://jobs.opennash.com/companies/amazon/jobs/c1fe2d5f38edbb3047c2/) US, WA, Seattle ## Similar jobs at other companies ### [Senior Applied Scientist](https://jobs.opennash.com/companies/oracle/jobs/f8ed9ff14b05042cc65f/) Oracle · United States ### [Applied Scientist II](https://jobs.opennash.com/companies/microsoft/jobs/1932503c468419f688ab/) Microsoft · United States, Washington, Redmond ### [Principal Applied Scientist](https://jobs.opennash.com/companies/microsoft/jobs/6887d8f40d7a9e34526e/) Microsoft · United States, Washington, Redmond ### [Principal, Data Scientist - Applied Machine Learning](https://jobs.opennash.com/companies/walmart/jobs/8af78490b17976e76747/) Walmart · United States ### [Senior AI/ML Applied Scientist](https://jobs.opennash.com/companies/unitedhealth-group/jobs/78af7d0e20840c30720f/) UnitedHealth Group · Eden Prairie, Minnesota [Jobs in Seattle, WA](/locations/us/wa/seattle/)[Jobs in Washington](/locations/us-wa/)[Research & Science jobs](/functions/research-science/) OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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