Applied Scientist: Agentic AI for Audit & Risk

Socket.dev; Arlington (VA); On-site; USD 143,000 - 193,000; Full time

Benefits offered by this job

RSUs

Comprehensive benefits

Job summary

Amazon Internal Audit is seeking an Applied Scientist to accelerate Data Science & Risk Intelligence initiatives. You will own ambiguous, high-impact ML problems, build agentic AI systems, and scale solutions on AWS. The role emphasizes production experience, risk-aware evaluation, and mentoring team members.

The team works to improve controllership and operational efficiency, leveraging LLMs and advanced analytics to surface insights and mitigate risk across audits.

Qualifications

• PhD or Master’s plus 4+ years in CS/CE/ML or related field.
• Experience with ML fundamentals, training and inference lifecycles.
• Experience in AWS or cloud-based solutions.

Responsibilities

• Define and deliver ML and generative AI products with end-to-end ownership.
• Design and own agentic AI systems and evaluation methods.
• Analyze data with SQL/Python/R to derive actionable insights.
• Architect secure, scalable AWS ML solutions from design to production.
• Mentor junior scientists and contribute to roadmap.

Skills

ML fundamentals

Mentoring

Problem solving

Education

PhD

Master's in CS/CE/ML

Tools

Java

C++

Python

Job description

Amazon Internal Audit is seeking an Applied Scientist to accelerate Data Science & Risk Intelligence initiatives. You will own ambiguous, high-impact ML problems, build agentic AI systems, and scale solutions on AWS. The role emphasizes production experience, risk-aware evaluation, and mentoring team members.

The team works to improve controllership and operational efficiency, leveraging LLMs and advanced analytics to surface insights and mitigate risk across audits.