Job Description
Amazon Security is looking for a talented and driven Applied Scientist II to spearhead Generative AI acceleration within the Secure Third Party Tools (S3T) organization. The S3T team has bold ambitions to re-imagine security products that serve Amazon's pace of innovation at our global scale.
This role will focus on leveraging large language models and agentic AI to transform third-party security risk management, automate complex vendor assessments, streamline controllership processes, and dramatically reduce assessment cycle times. You will drive builder efficiency and deliver bar-raising security engagements across Amazon.
Key job responsibilities
Lead the research, design, and development of GenAI-powered solutions to enhance the security and governance of third-party tools across Amazon
Develop and fine-tune large language models (LLMs) and other ML models tailored to security use cases, including risk detection, anomaly identification, and automated compliance
Collaborate with cross-functional teams — including Security Engineers, Software Development Engineers, and Product Managers — to translate scientific innovations into scalable, production-ready systems
Define and drive the GenAI roadmap for the S3T organization, influencing strategy and prioritization
Conduct rigorous experimentation, evaluate model performance, and iterate rapidly to deliver measurable impact
Stay current with the latest advancements in GenAI and applied ML research, and bring relevant innovations into Amazon's security ecosystem
Mentor junior scientists and contribute to a culture of scientific excellence within the team
About the team
Security is central to maintaining customer trust and delivering delightful customer experiences. At Amazon, our Security organization is designed to drive bar-raising security engagements. Our vision is that Builders raise the Amazon security bar when they use our recommended tools and processes, with no overhead to their business.
Diverse Experiences
Amazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why Amazon Security?
At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.
Inclusive Team Culture
In Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.
Training & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.
This role will focus on leveraging large language models and agentic AI to transform third-party security risk management, automate complex vendor assessments, streamline controllership processes, and dramatically reduce assessment cycle times. You will drive builder efficiency and deliver bar-raising security engagements across Amazon.
Key job responsibilities
Lead the research, design, and development of GenAI-powered solutions to enhance the security and governance of third-party tools across Amazon
Develop and fine-tune large language models (LLMs) and other ML models tailored to security use cases, including risk detection, anomaly identification, and automated compliance
Collaborate with cross-functional teams — including Security Engineers, Software Development Engineers, and Product Managers — to translate scientific innovations into scalable, production-ready systems
Define and drive the GenAI roadmap for the S3T organization, influencing strategy and prioritization
Conduct rigorous experimentation, evaluate model performance, and iterate rapidly to deliver measurable impact
Stay current with the latest advancements in GenAI and applied ML research, and bring relevant innovations into Amazon's security ecosystem
Mentor junior scientists and contribute to a culture of scientific excellence within the team
About the team
Security is central to maintaining customer trust and delivering delightful customer experiences. At Amazon, our Security organization is designed to drive bar-raising security engagements. Our vision is that Builders raise the Amazon security bar when they use our recommended tools and processes, with no overhead to their business.
Diverse Experiences
Amazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why Amazon Security?
At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.
Inclusive Team Culture
In Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.
Training & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.
Amazon
123 jobs posted
About the job
Posted on
Mar 4, 2026
Apply before
Apr 3, 2026
Job typeFull-time
CategoryApplied Scientist
Location
US, TX
Skills
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