Principal Applied Scientist, Amazon Q
Principal Applied Scientist, Amazon Q
Posted on :
25-07-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 179000 - 309400
Vacancy
1 Vacancy
Posted on :
25-07-2025
Job Description
Amazon Web Services (AWS) is looking for a Principal Applied Scientist to join the Amazon Q team. Q is AWSs enterprise generative AI assistant that helps users answer questions summarize documents generate content take actions and automate workflows using information 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.
Youll work on building and optimizing multi-modal foundation models training and fine-tuning state-of-the-art LLMs and architecting systems that scale efficiently across domains. This role blends science leadership hands-on innovation and deep collaboration with engineering teams to bring research into production.
Key job responsibilities
Lead the design and development of foundational models and intelligent agent architectures tailored to enterprise use cases.
Partner with engineering product and UX teams to integrate generative AI into the Amazon Q assistant.
Drive experimentation to improve model accuracy safety latency and cost efficiency.
Mentor other scientists and engineers helping raise the technical bar across the team.
Contribute to and publish in top-tier conferences or file patents based on novel research contributions.
About the team
Amazon Q is a generative AI-powered assistant that helps employees become more productive by answering questions generating content summarizing data and automating workflows using enterprise information. Our team builds the intelligence behind Q leveraging large language models retrieval-augmented generation and agentic architectures to orchestrate complex workflows securely and at scale. Were focused on building systems that reason plan and act across multiple modalities and business tools. As part of AWSs broader Agentic AI initiative were shaping the future of enterprise AIempowering organizations to solve problems faster reduce operational overhead and unlock new levels of efficiency and decision-making.
- PhD in Machine Learning Computer Science Electrical Engineering or a related technical field OR a Masters degree with 5 years of relevant industry or research experience.
- Industry experience developing machine learning models for real-world applications.
- Experience with generative AI including model training or building systems with pre-trained foundation models.
- Proven record of peer-reviewed publications or granted patents in AI/ML.
- Proficiency in Python or similar programming languages.
- Experience in at least one of the following areas: natural language processing (NLP) large language models (LLMs) computer vision or Agentic AI.
- Experience applying generative AI to enterprise or multi-modal tasks (e.g. code generation document understanding or task planning).
- Strong understanding of agentic architectures autonomous systems or task orchestration.
- Hands-on experience with scalable ML infrastructure distributed training or optimization of large models.
- Deep knowledge of AI safety hallucination mitigation or retrieval-augmented generation (RAG).
- Experience mentoring junior scientists and influencing cross-functional stakeholders.
- Ability to think strategically and communicate complex technical topics to non-experts including senior leadership.
- Track record of shipping scientific innovations into customer-facing products at scale.
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 $179000/year in our lowest geographic market up to $309400/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.
Youll work on building and optimizing multi-modal foundation models training and fine-tuning state-of-the-art LLMs and architecting systems that scale efficiently across domains. This role blends science leadership hands-on innovation and deep collaboration with engineering teams to bring research into production.
Key job responsibilities
Lead the design and development of foundational models and intelligent agent architectures tailored to enterprise use cases.
Partner with engineering product and UX teams to integrate generative AI into the Amazon Q assistant.
Drive experimentation to improve model accuracy safety latency and cost efficiency.
Mentor other scientists and engineers helping raise the technical bar across the team.
Contribute to and publish in top-tier conferences or file patents based on novel research contributions.
About the team
Amazon Q is a generative AI-powered assistant that helps employees become more productive by answering questions generating content summarizing data and automating workflows using enterprise information. Our team builds the intelligence behind Q leveraging large language models retrieval-augmented generation and agentic architectures to orchestrate complex workflows securely and at scale. Were focused on building systems that reason plan and act across multiple modalities and business tools. As part of AWSs broader Agentic AI initiative were shaping the future of enterprise AIempowering organizations to solve problems faster reduce operational overhead and unlock new levels of efficiency and decision-making.
- PhD in Machine Learning Computer Science Electrical Engineering or a related technical field OR a Masters degree with 5 years of relevant industry or research experience.
- Industry experience developing machine learning models for real-world applications.
- Experience with generative AI including model training or building systems with pre-trained foundation models.
- Proven record of peer-reviewed publications or granted patents in AI/ML.
- Proficiency in Python or similar programming languages.
- Experience in at least one of the following areas: natural language processing (NLP) large language models (LLMs) computer vision or Agentic AI.
- Experience applying generative AI to enterprise or multi-modal tasks (e.g. code generation document understanding or task planning).
- Strong understanding of agentic architectures autonomous systems or task orchestration.
- Hands-on experience with scalable ML infrastructure distributed training or optimization of large models.
- Deep knowledge of AI safety hallucination mitigation or retrieval-augmented generation (RAG).
- Experience mentoring junior scientists and influencing cross-functional stakeholders.
- Ability to think strategically and communicate complex technical topics to non-experts including senior leadership.
- Track record of shipping scientific innovations into customer-facing products at scale.
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 $179000/year in our lowest geographic market up to $309400/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.
Required Experience:
Staff IC
Employment Type
Full-Time
Key Skills
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