[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 · San Francisco, CA # Research Engineer, Quick Science US, CA, San Francisco Research & Science Listed on Amazon’s official careers site. Posted October 2, 2026. Check that it is still open and apply there. [Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10568153/research-engineer-quick-science) [OpenNash Jobs](https://jobs.opennash.com/) / [Amazon](https://jobs.opennash.com/companies/amazon/) / Research Engineer, Quick Science ## Job description Come join the Quick Science team in building the next generation enterprise AI assistant. Quick is AWS’s enterprise generative AI assistant that helps users answer questions, summarize documents, generate content, take actions, and automate workflows using information including structured and unstructured data across enterprise systems. As a key member of this team, you will lead research and development efforts in generative AI and Agentic AI to enable intelligent agents that perform complex reasoning, automate multi-step workflows, and make enterprise users significantly more productive. You’ll work on agentic AI systems that scale efficiently to millions of users. This role blends technical leadership, hands-on innovation, and deep collaboration with engineering teams to bring research into production. ### Key job responsibilities A Research Engineer in the AWS Agentic AI team has the following responsibilities: * Define, design and lead the development of tools that accelerate the science experimentation and delivery process * Design and guide the science team's implementation, enabling Science proof of concepts that help decide the ultimate science solution strategy, algorithm workflow, and the individual science components that become a release candidate * Tool development: build and improve toolings that applied scientists would need, including scalable science experiment frameworks, low-latency testing pipelines, data collection/annotation/evaluation web applications. * Expedite science to production: bridge the gap between science and engineering teams, help to investigate and mitigate gaps between science and engineering pipeline. Help to merge both pipelines to one, or making components within the two interchangeable. Work towards a fast science-to-production paradigm. ## At a glance - Posted by the employer: Oct 2, 2026 - First seen by OpenNash: Oct 11, 2026 - Last checked: Oct 18, 2026 - Listed for: 16 days - Location: US, CA, San Francisco[Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10568153/research-engineer-quick-science) ## More jobs at Amazon ### [Applied Scientist](https://jobs.opennash.com/companies/amazon/jobs/a984ba94a5625771c512/) US, CA, San Francisco ### [Applied Scientist, Amazon Ads](https://jobs.opennash.com/companies/amazon/jobs/c57862d85c5060389d47/) US, CA, San Francisco ### [Senior Applied Scientist, Navigation](https://jobs.opennash.com/companies/amazon/jobs/0f82c2aab9b41c15aece/) US, CA, San Francisco ### [2027 Applied Science Internship - United States, PhD Student Science Recruiting Frontier AI & Robotics, Frontier AI & Robotics](https://jobs.opennash.com/companies/amazon/jobs/23e2ce626e384af26632/) US, CA, San Francisco ### [2027 Applied Science Internship - United States, Undergrad Student Science Recruiting, Frontier AI & Robotics](https://jobs.opennash.com/companies/amazon/jobs/7d930a74856254d4f30d/) US, CA, San Francisco ## Similar jobs at other companies ### [Research Science Asc Mgr](https://jobs.opennash.com/companies/lockheed-martin/jobs/c94534855da976a879c4/) Lockheed Martin · Sunnyvale, CA, Louisville, CO ### [US Equity Research - Life Science Tools & Diagnostics - Analyst](https://jobs.opennash.com/companies/jpmorganchase/jobs/394cb413dbae48c2d7b0/) JPMorganChase · NY, United States ### [Morgan Health - Data Science & Research - Senior Associate](https://jobs.opennash.com/companies/jpmorganchase/jobs/a946de16fba0c5581fc9/) JPMorganChase · New York, NY, United States ### [AI Data Science Lead – Research (Gilead & Kite)AI Data Science Lead – Research (Gilead & Kite)](https://jobs.opennash.com/companies/gilead-sciences/jobs/77bf4445060b61d5dda8/) Gilead Sciences · United States - North Carolina - Raleigh ### [Aesthetics Science ML Research Engineer](https://jobs.opennash.com/companies/apple/jobs/66b3d4f0ba6180c3be1c/) Apple · San Diego, United States of America OpenNash lists jobs from employers’ own careers sites and does not handle applications. Dates come from the employer where stated; “first seen” and “last checked” are our own observations. OpenNash Jobs · Official listings with dates and links to the employer. [Weekly hiring report](/reports/hiring/) · [Methodology](/methodology/)