Applied Science Lead — Enterprise AI & Automation

Amazon Web Services (AWS); New York (NY); On-site; USD 241,000 - 326,000; Full time

Job summary

Amazon Web Services (AWS) in New York seeks a senior manager for the Applied/Quick Science team to lead research and development in generative AI and Agentic AI, enabling intelligent agents that perform complex reasoning, automate multi‑step workflows, and boost enterprise productivity.

You will build multi‑modal foundation models, train and fine‑tune LLMs, and design scalable systems, collaborating with engineering teams to bring research into production and accelerate customer outcomes.

Qualifications

• PhD in Machine Learning, Computer Science, Electrical Engineering, or related field OR Master’s with 5+ years experience.
• Industry experience building ML models for real‑world applications.
• Experience with generative AI and training or systems with foundation models.
• Peer‑reviewed publications or patents in AI/ML.
• Python or similar programming language proficiency.
• Experience in NLP, LLMs, CV, or Agentic AI.

Responsibilities

• You’ll build and optimize multi‑modal foundation models and train state‑of‑the‑art LLMs.
• You’ll architect scalable systems across domains and collaborate with engineering teams to productionize research.

Skills

Python proficiency

Generative AI experience

ML model development

NLP / LLMs

Agentic AI

Leadership in research

Education

PhD in ML or related field OR Master’s +5 years experience

Job description

Amazon Web Services (AWS) in New York seeks a senior manager for the Applied/Quick Science team to lead research and development in generative AI and Agentic AI, enabling intelligent agents that perform complex reasoning, automate multi‑step workflows, and boost enterprise productivity.

You will build multi‑modal foundation models, train and fine‑tune LLMs, and design scalable systems, collaborating with engineering teams to bring research into production and accelerate customer outcomes.