Lead Research Engineer - Generative AI & Agentic Systems

Amazon Inc.

New York (NY)

On-site

USD 184,000 - 262,000

Full time

17 hours ago
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Benefits offered by this job

Health insurance
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Job summary

Amazon Web Services, Inc. is seeking a senior software and AI research leader to guide the Quick Science team.

You will drive generative AI and agentic AI initiatives, design scalable architectures, and mentor engineers across disciplines to deliver production-ready systems for enterprise users. You will partner with research and product teams to translate scientific insights into actionable technologies, balancing speed and reliability while raising the bar for performance and security in

Qualifications

  • 5+ years of non-internship software development experience
  • 5+ years of programming with at least one programming language
  • 5+ years of leading design or architecture of new and existing systems
  • Experience as a mentor, tech lead or leading an engineering team

Responsibilities

  • Define, design and lead the development of tools that accelerate science experimentation and delivery process
  • Design and guide the science team's implementation, enabling SCIP proof of concepts that help decide strategy
  • Tool development: build and improve toolings for scientists including scalable experiment frameworks and testing pipelines
  • Expedite science to production: bridge the gap between science and engineering pipelines

Skills

Software development
Programming experience
Engineering leadership
Mentorship

Education

Bachelor's degree in Computer Science or equivalent

Tools

JAX
PyTorch
vLLM
SGLang
Dynamo
TorchXLA
TensorRT

Job description

Amazon Web Services, Inc. is seeking a senior software and AI research leader to guide the Quick Science team.

You will drive generative AI and agentic AI initiatives, design scalable architectures, and mentor engineers across disciplines to deliver production-ready systems for enterprise users. You will partner with research and product teams to translate scientific insights into actionable technologies, balancing speed and reliability while raising the bar for performance and security in

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