Senior Applied Scientist, Risk and Compliance Solutions (RCS)
Core
Building ML and GenAI systems to accelerate regulatory change cycles, draft compliance requirements, and model breach risks for Amazon's Risk and Compliance Solutions.
Role type
Senior Applied Scientist (AI/ML Strategy & Architecture)
Builds
Production ML/GenAI systems, agentic workflows, and evaluation science for financial crime compliance.
Domain
Financial services compliance, regulatory technology, risk modeling.
Deliverable
production ML models
Required skills
PhD or Master's with 5+ years applied research, Java/C++/Python, 3+ years building ML for business, rare-event modeling, GenAI system design, agentic system architecture, evaluation science, model explainability, uncertainty quantification.
Preferred skills
R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, neural deep learning, large-scale ML systems.
Technologies
Amazon SageMaker, Amazon Bedrock, Amazon Redshift, AWS Lambda.
Responsibilities
Formulate compliance problems as ML/GenAI tasks, develop risk models for breach conversion, build GenAI systems for requirement translation and reporting, design evaluation frameworks, deploy and monitor models in production, explain model decisions and quantify uncertainty, create reusable science components, architect agentic systems, set technical direction and mentor teams.
Seniority
Senior, hands-on IC with strategy & mentorship