Applied Scientist, Agentic AI, AWS Governance

Do you want to build the ML models that power every compliance verdict customers and auditors rely on? We are building a new Governance, Risk, and Compliance (GRC) service at AWS where every action — human Basic qualifications: - 2+ years of building models for business application experience - 2+ years of programming in Java, C++, Python or related language experience - 2+ years of hands-on predictive modeling and large data analysis experience Preferred: - PhD in computer science, machine learning, engineering, or related fields - Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders - Experience with one of the following areas: machine learning technologies, Reinforcement Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP) or related applications - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - Extensive experience applying theoretical models in an applied environment. - Experience with building agentic systems using LLMs and familiar with common agentic framework such as Strands Agent, LangGraph, etc. - Solid knowledge on LLM techniques and experience with LLM post-training. 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t 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 https://amazon.jobs/en/benefits . USA, VA, Arlington - 142,800.00 - 193,200.00 USD annually USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually