Lead Research Engineer, Generative & Agentic AI

Amazon Inc.; San Francisco (CA); On-site; USD 193,000 - 262,000; Full time

Benefits offered by this job

Health insurance

RSUs

Sign-on bonus

Paid time off

401(k) matching

Job summary

Amazon Web Services, Inc. is seeking a seasoned software leader to head research and development for the Quick Science team, AWS's enterprise generative AI assistant.

You will guide design and implementation of tools, pipelines, and architectures that enable scalable experimentation and production-grade AI solutions for millions of users. You will mentor engineers, shape the technology strategy, and collaborate across engineering to translate research into production systems, focusing on agentic

Qualifications

• 5+ years of professional software development experience.
• Bachelor's degree in computer science or equivalent.
• Experience mentoring/leading an engineering team.
• Experience building complex software systems delivered to customers.
• Knowledge of ML and LLM fundamentals, transformer architectures, training/inference lifecycles, and optimization techniques.

Responsibilities

• Define, design and lead the development of tools that accelerate the science experimentation and delivery process.
• Design and guide the science team's implementation, enabling Science proof of concepts that help decide the ultimate science solution strategy, algorithm workflow, and the individual science components that become a release candidate.
• Tool development: build and improve toolings that applied scientists would need, including scalable science experiment frameworks, low-latency testing pipelines, data collection/annotation/evaluation web applications.
• Expedite science to production: bridge the gap between science and engineering teams, help to investigate and mitigate gaps between science and engineering pipeline.

Skills

Mentor / Tech lead

Software development

Architect design

Research leadership

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 seasoned software leader to head research and development for the Quick Science team, AWS's enterprise generative AI assistant.

You will guide design and implementation of tools, pipelines, and architectures that enable scalable experimentation and production-grade AI solutions for millions of users. You will mentor engineers, shape the technology strategy, and collaborate across engineering to translate research into production systems, focusing on agentic