Amazon
Principal Applied Scientist, Agentic AI Professional Services Experience
Amazon, Boston, Massachusetts, United States, 02108
Principal Applied Scientist
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. 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
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
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. 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
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