Applied Science Manager, AWS Q for Business

Amazon is looking for world class Applied Science leader to join its AWS AI Labs with expertise in AI-assistants focusing on conversational- retrieval augmented generation (RAG) agent orchestration multi-modal and multi-lingual chat agents etc. You will be joining a team of applied scientists developing robust and scalable machine learning solutions for enterprise conversational assistants. You will interact in a cross-functional capacity with product and engineering leaders as well as with our customers and with the academic community. You will be at the heart of a growing and exciting focus area for AWS and work with acclaimed engineers and world-class scientists.


About the team
Amazon Q Business is a generative AIpowered assistant that can answer questions provide summaries generate content and take actions securely completing the tasks based on data and information in your enterprise systems. It empowers employees to be more creative data-driven efficient prepared and productive. As member of Q team youll work on optimizing large language models in an efficient manner and implementing solutions to enhance and build new functionalities into Q assistant.

Amazon Q Business is part of Agentic AI initiative within AWS. Agentic systems offer possibilities that extend far beyond todays chatbots and will drive efficiency like we havent seen before. They will orchestrate complex workflows and solve problems with human-like reasoning while maximizing performance and cost effectiveness at scale. Agents help developers write and debug code more effectively allow businesses to automate complex decision-making processes and create systems that can learn and adapt to new challenges.

Agentic AI
Agentic AI drives innovation at the forefront of artificial intelligence enabling customers to transform their businesses through AI solutions. We build and deliver the foundational AI services that power the future of cloud computing helping organizations harness the potential of AI to solve their most complex challenges. Join our dynamic team of AI/ML practitioners applied scientists software engineers and solution architects who work backwards from customer needs to create technologies. If youre passionate about shaping the future of AI while making a meaningful impact for customers worldwide we want to hear from you.

Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger more collaborative teams. Our continual innovation is fueled by the bold ideas fresh perspectives and passionate voices our teams bring to everything we do.

Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.

Hybrid Work
We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible hybrid work model near one of our U.S. Amazon offices.



- 3 years of scientists or machine learning engineers management experience
- Knowledge of ML NLP Information Retrieval and Analytics

- Experience building machine learning models or developing algorithms for business application
- Experience building complex software systems especially involving deep learning machine learning and computer vision that have been successfully delivered to customers

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $165500/year in our lowest geographic market up to $286000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.