Principal AI Scientist, Agentic & Generative Systems

Amazon Inc.

Santa Clara (CA)

On-site

USD 229,000 - 309,000

Full time

4 days ago
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Benefits offered by this job

Health insurance
RSUs (restricted stock units)
Paid time off

Job summary

Amazon Development Center U.S., Inc. is seeking a Principal Applied Scientist to lead research in generative and Agentic AI for enterprise productivity. You will drive multi-modal foundation models, scalability, and collaboration with engineering teams to push research into production.

The role emphasizes scientific leadership, hands-on innovation, and mentoring junior scientists while shaping cross-functional strategies with senior leadership.

Qualifications

  • PhD in Machine Learning, Computer Science, Electrical Engineering, or a related field OR a Master’s with 5+ years of relevant experience.
  • Industry experience developing ML models for real-world applications.
  • Experience with generative AI, model training or 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 NLP, LLMs, CV, or Agentic AI.

Responsibilities

  • Lead research and development in generative AI and Agentic AI to enable intelligent agents performing complex reasoning.
  • Build and optimize multi-modal foundation models and train/fine-tune state-of-the-art LLMs.
  • Design scalable architectures that enable production deployment across enterprise domains.

Skills

Python
Research leadership
Publications

Education

PhD, ML/CS/EE or related field
Master’s with 5+ years experience

Job description

Amazon Development Center U.S., Inc. is seeking a Principal Applied Scientist to lead research in generative and Agentic AI for enterprise productivity. You will drive multi-modal foundation models, scalability, and collaboration with engineering teams to push research into production.

The role emphasizes scientific leadership, hands-on innovation, and mentoring junior scientists while shaping cross-functional strategies with senior leadership.

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