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Amazon Principal Applied Scientist Agentic AI Professional Services Experience 
United States, Texas, Dallas 
943291010

08.07.2025
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.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
- Evaluate emerging research and identify opportunities to integrate techniques into our agent architectureTechnical 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- Set technical standards and guide implementation of best practices across the organizationDiverse 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
Work/Life BalanceMentorship 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.