Principal Applied Scientist, Agentic AI Professional Services Experience

Profile insights
Here’s how the job qualifications align with your profile.
Skills

AI
(Required)

Research

Python
+ show more

Do you have experience in AI?
Education

Doctoral degree

Master's degree

Do you have a Doctoral degree?
 
Job details
Here’s how the job details align with your profile.
Pay

$179,000 - $309,400 a year
Encouraged to apply
Fair chance
 
Full job description
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 company's 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, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS
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.

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, there’s nothing we can’t achieve in the cloud.

Inclusive Team Culture
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 (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship and Career Growth
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.
BASIC QUALIFICATIONS

PhD, or Master's 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.
PREFERRED QUALIFICATIONS

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 Company’s 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t 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 $179,000/year in our lowest geographic market up to $309,400/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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Job details

USA, MA, Boston
USA, TX, Austin
USA, WA, Seattle
USA, VA, Arlington
USA, NY, New York
USA, CA, Mountain View
USA, CA, San Diego
USA, TX, Dallas
Machine Learning Science

United States
Georgia
Boston Show on map Get directions