Applied Scientist, Internal Audit

Are you passionate about data enjoy solving complex analytical problems leveraging industry leading agentic AI technologies to derive insight at scale - all in a challenging fast-paced environment We are seeking an Applied Scientist to accelerate the growth of Amazon Internal Audits Data Science & Risk Intelligence initiatives. The team builds ML and AI solutions that expand self-service data utilization by audit teams utilizing the right methods to derive deeper patterns and surface insights to gain holistic perspectives while amplifying potential risk mitigation.

Key job responsibilities
- Partner with audit teams product managers engineers and scientists to define and deliver machine learning and generative AI products that carry significant ambiguity scale and complexity owning problems end-to-end from framing through measurable impact.

- Design build and own agentic AI systems including multi-agent workflows retrieval-augmented generation and tool-using agents that automate and augment audit work and set the standard for how the team evaluates them through rigorous LLM-as-judge and human-aligned evaluation.

- Apply statistical analysis and classical machine learning using SQL and scripting languages like Python/R over large datasets to develop insights and recommendations that strengthen internal audit.

- Architect secure scalable solutions on AWS machine learning and generative AI services (e.g. Bedrock AgentCore SageMaker) owning the full lifecycle from design through production deployment monitoring and iterative improvement.

- Own and evolve the teams production and experimentation infrastructure including deployment pipelines observability and tracing and evaluation harnesses.

- Drive applied research by identifying and pursuing emerging techniques and disseminate findings through internal and external publications talks and journal clubs.

- Raise the technical bar across the team including mentor junior scientists and engineers review designs and code and help shape the product and technical roadmap.

A day in the life
As an Applied Scientist you will own ambiguous high-impact problems and help shape the technical roadmap that connects risk to Amazon. You will drive AI products that make audit work more effective and efficient increasingly centered on LLM and agentic systems. You set technical direction across the full arc of applied science. That means framing problems making architecture decisions defining how the team evaluates quality and delivering solutions in production. The ideal candidate pairs deep machine learning expertise with a builders instinct for production architecture. They thrive on ambiguity mentor others and follow a fast-moving research frontier.

About the team
Internal Audits mission is to help our businesses improve controllership operational efficiency and customer experience.

- 3 years of building models for business application experience
- PhD or Masters degree and 4 years of CS CE ML or related field experience
- Experience programming in Java C Python or related language
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing
- Experience with Machine Learning and Large Language Model fundamentals including architecture training/inference lifecycles and optimization of model execution or experience building complex software systems that have been successfully delivered to customers
- Experience architecting/operating solutions built on AWS or experience implementing a cloud-based technology solution

- Experience using Unix/Linux
- Experience in professional software development
- Experience designing and running evaluation frameworks for generative AI (e.g. LLM-as-judge human-alignment measurement benchmarking output quality).
- Hands-on experience with agentic AI frameworks and generative AI services (e.g. Amazon Bedrock SageMaker LangGraph Strands).
- Experience building and maintaining production ML/AI infrastructure deployment pipelines observability/tracing and experimentation environments.
- A track record of applied-research output: publications conference talks or patents.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at VA Arlington - 142800.00 - 193200.00 USD annually