Principal Applied Scientist, AWS Agentic AI

Amazon • Santa Clara, CA

2d • $198,900 - $309,400 • Onsite

About The Position

Amazon Web Services (AWS) is looking for a Principal Applied Scientist to join the Quick Science team. Quick is AWS’s 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.

Requirements

• PhD in Machine Learning, Computer Science, Electrical Engineering, or a related technical field OR a Master’s 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.

Nice To Haves

• 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.

Responsibilities

• 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.
• Build and optimize multi-modal foundation models.
• Train and fine-tune state-of-the-art LLMs.
• Architect systems that scale efficiently across domains.
• Bring research into production through science leadership, hands-on innovation, and deep collaboration with engineering teams.

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave
• sign-on payments
• restricted stock units (RSUs)

What This Job Offers

• Job Type: Full-time
• Career Level: Principal