Principal Applied Scientist, AWS Agentic AI

Amazon; Berwick (Columbia County); On-site; USD 198,900 - 309,400; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon seeks a Principal Applied Scientist for its Quick Science team in Berwick. The successful applicant will lead research in generative AI and develop enterprise applications to enhance user productivity.

Required qualifications include a PhD or a Master’s with relevant experience. The role promises a competitive salary package and comprehensive benefits such as health insurance and 401(k) matching.

Qualifications

• PhD in Machine Learning, Computer Science, Electrical Engineering, or a related 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.

Responsibilities

• Build and optimize multi‑modal foundation models.
• Train and fine‑tune state‑of‑the‑art LLMs.
• Lead research and development in generative AI and Agentic AI.

Skills

Machine Learning

Generative AI

Natural Language Processing

Python

Education

PhD in Machine Learning or related field

Master’s degree with 5+ years of experience

Job description

Principal Applied Scientist, AWS Agentic AI

Job ID: 10441249 | Amazon Development Center U.S., Inc.

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.

Responsibilities

You’ll work on building and optimizing multi‑modal foundation models, training and fine‑tuning state‑of‑the‑art LLMs, and architecting systems that scale efficiently across domains. This role blends science leadership, hands‑on innovation, and deep collaboration with engineering teams to bring research into production.

Basic Qualifications

• 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.

Preferred Qualifications

• 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.

Benefits & Compensation

The base salary range for this position is: USA, CA, Santa Clara - 228,700.00 – 309,400.00 USD annually; USA, NY, New York - 218,800.00 – 295,900.00 USD annually; USA, WA, Seattle - 198,900.00 – 269,000.00 USD annually. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.