Senior AI Scientist, Frontier Tooling & GenAI Solutions

Amazon Web Services (AWS); Austin (TX); On-site; USD 167,000 - 226,000; Full time

Job summary

Amazon Web Services, Inc. is seeking a Senior Applied Scientist to own high-impact, end-to-end ML problems for Proserve and Frontier AI, delivering scalable solutions for sales and delivery teams.

You will shape technical direction and mentor researchers while partnering with customers to translate business questions into deployable AI tooling. Ideal candidates combine strong ML theory with practical deployment skills, excellent communication, and a track record of leading teams to impact,

Qualifications

• PhD, or Master’s degree and 6 years of building ML models for business applications.
• Experience with SQL and Python scripting.
• Experience in written and verbal communication with the ability to present complex technical information to executives and non-technical leaders.
• Experience managing and deploying ML products.

Responsibilities

• Own the full lifecycle of complex science problems: problem framing, data exploration, method selection, modeling, evaluation, and production deployment.
• Set technical direction on ambiguous problems and make the design decisions that others build on.
• Partner with business stakeholders to translate open-ended business questions into well-scoped science and recommendations.
• Raise the scientific bar across the team through design reviews, mentorship, and hands-on guidance.
• Communicate methods, trade-offs, and results clearly to both technical and non-technical audiences.
• Use Python, PySpark, and SQL for data analysis and model development.

Skills

SQL

Python

Communication

ML deployment

Stakeholder management

LLMs

Mentoring

Education

PhD or Master's degree in a relevant field

Job description

Amazon Web Services, Inc. is seeking a Senior Applied Scientist to own high-impact, end-to-end ML problems for Proserve and Frontier AI, delivering scalable solutions for sales and delivery teams.

You will shape technical direction and mentor researchers while partnering with customers to translate business questions into deployable AI tooling. Ideal candidates combine strong ML theory with practical deployment skills, excellent communication, and a track record of leading teams to impact,