Principal Applied Scientist, Agentic AI Professional Services Experience
Principal Applied Scientist, Agentic AI Professional Services Experience
Posted on :
05-07-2025
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1 Vacancy
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Job Description
As a Principal Applied Scientist on our Agentic AI Professional Services Experience team you will serve as the foremost technical authority and thought leader in the development and deployment of agentic AI systems. This advanced-level scientific position requires exceptional expertise in deep learning large language models and AI agent architectures to help build our industry-leading Agentic AI portfolio (models systems and applications). You will be responsible for setting the scientific vision driving innovation and representing the companys AI capabilities to senior leadership at customer organizations while ensuring our solutions deliver transformative value across enterprise environments.
Our mission is to provide a delightful experience to customers by pushing the envelope in NLP/NLU AI-assisted code development reasoning and planning with LLMs LLM training and fine-tuning and Applied Machine Learning within professional service contexts. As a principal scientist you will be the bridge between scientific advancement business strategy and customer needs.
Key job responsibilities
Scientific Leadership
- Define and drive the scientific vision and roadmap for our Agentic AI professional services portfolio
- Lead research and development initiatives to advance the state-of-the-art in agent-based AI systems
- Collaborate with senior scientists across the organization to pioneer novel approaches to agent learning reasoning and interaction
- Publish innovative research at top-tier conferences and influence the broader scientific community
- Evaluate emerging research and identify opportunities to integrate techniques into our agent architecture
Technical Excellence
- Architect complex multi-agent systems that can effectively understand reason about and execute professional services workflows at enterprise scale
- Lead the design and implementation of sophisticated machine learning models for agent decision-making planning and reasoning
- Drive breakthroughs in areas such as LLM fine-tuning reinforcement learning from human feedback and agent alignment
- Establish rigorous evaluation frameworks and metrics for measuring agent effectiveness safety and business impact
- Set technical standards and guide implementation of best practices across the organization
Customer & Business Impact
- Translate complex technical concepts into clear business value propositions for diverse stakeholders
- Lead high-visibility technical delivery for strategic customers
- Analyze complex enterprise problems and design AI agent solutions that deliver measurable business outcomes
About the team
ABOUT AWS:
Diverse Experiences
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 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.
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.
Inclusive Team Culture
Here at AWS its 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 (CORE) and AmazeCon (gender diversity) conferences inspire us to never stop embracing our uniqueness.
Mentorship and 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.
- PhD or Masters degree and 10 years of CS CE ML or related field experience
- 8 years of building models for business application experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java C Python or related language
- Experience in any of the following areas: AI (NLP or multi-modality models) Deep Learning LLM model training graph learning static code analysis software engineering.
- Experience building AI systems for enterprise professional services environments
- Experience leading cross-functional initiatives spanning research engineering and product
- History of successful collaboration with product teams to bring research to market
- Demonstrated ability to secure resources and support for ambitious project or research agendas
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.
Our mission is to provide a delightful experience to customers by pushing the envelope in NLP/NLU AI-assisted code development reasoning and planning with LLMs LLM training and fine-tuning and Applied Machine Learning within professional service contexts. As a principal scientist you will be the bridge between scientific advancement business strategy and customer needs.
Key job responsibilities
Scientific Leadership
- Define and drive the scientific vision and roadmap for our Agentic AI professional services portfolio
- Lead research and development initiatives to advance the state-of-the-art in agent-based AI systems
- Collaborate with senior scientists across the organization to pioneer novel approaches to agent learning reasoning and interaction
- Publish innovative research at top-tier conferences and influence the broader scientific community
- Evaluate emerging research and identify opportunities to integrate techniques into our agent architecture
Technical Excellence
- Architect complex multi-agent systems that can effectively understand reason about and execute professional services workflows at enterprise scale
- Lead the design and implementation of sophisticated machine learning models for agent decision-making planning and reasoning
- Drive breakthroughs in areas such as LLM fine-tuning reinforcement learning from human feedback and agent alignment
- Establish rigorous evaluation frameworks and metrics for measuring agent effectiveness safety and business impact
- Set technical standards and guide implementation of best practices across the organization
Customer & Business Impact
- Translate complex technical concepts into clear business value propositions for diverse stakeholders
- Lead high-visibility technical delivery for strategic customers
- Analyze complex enterprise problems and design AI agent solutions that deliver measurable business outcomes
About the team
ABOUT AWS:
Diverse Experiences
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 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.
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.
Inclusive Team Culture
Here at AWS its 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 (CORE) and AmazeCon (gender diversity) conferences inspire us to never stop embracing our uniqueness.
Mentorship and 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.
- PhD or Masters degree and 10 years of CS CE ML or related field experience
- 8 years of building models for business application experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java C Python or related language
- Experience in any of the following areas: AI (NLP or multi-modality models) Deep Learning LLM model training graph learning static code analysis software engineering.
- Experience building AI systems for enterprise professional services environments
- Experience leading cross-functional initiatives spanning research engineering and product
- History of successful collaboration with product teams to bring research to market
- Demonstrated ability to secure resources and support for ambitious project or research agendas
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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