Applied Scientist, AGI/AI Security Organization

We are seeking an Applied Scientist to contribute to research and development of novel security validation and monitoring techniques for AI systems at scale. You will own and contribute to four critical work-streams:

1. Real-Time Agent Monitoring

Design and implement scientific approaches for continuous behavioral analysis of AI agents in production-detecting anomalous actions, prompt injection exploitation, and policy violations in real time.

1. Protection & Automated Remediation

Invent and deliver novel protection technologies and automated remediation techniques building on research in security, cryptography, privacy, automated reasoning, and others domains, to enable safe and secure agentic AI models and AI applications.

1. AI Application and Capabilities Validation

Invent and deliver scalable methodologies for security testing of AI applications and AI capabilities (e.g. MCP, skills), including adversarial robustness evaluation, safety guardrail bypass detection, tool-use authorization boundaries, and trust boundary verification.

1. AI Asset Discovery & Inventory

Research and build scalable techniques to automatically discover, identify, and catalog all AI-enabled applications, services, and capabilities across the company-maintaining a comprehensive, continuously updated database of AI assets., Invent

• Identify and frame new research challenges in AI security where problems are ill-defined and require novel scientific paradigms at the product level.
• Contribute to the team”s scientific agenda for agent monitoring, protection, remediation, validation research, and AI asset discovery.
• Publish research results at peer-reviewed internal and external venues (e.g., USENIX Security, ACM CCS, IEEE S&P, NeurIPS, ICML security workshops, ICSE, PETS) when appropriate.
• Articulate key scientific challenges of current and future AI security threats and deliver novel research to address them.
• Design, implementation, and successful delivery of scientifically complex security solutions into production-both brand new systems and evolutions of existing ones.
• Write significant portions of critical-path code for detection models, validation engines, protection technologies, and asset discovery / classification systems.
• Assess and select appropriate technologies (e.g., data protection, private inference, graph-based anomaly detection, NLP-based service classification, code/traffic analysis for AI fingerprinting) for production systems.
• Use best practices in scientific methodology and software engineering across the team; provide insightful peer reviews of code, design, and architecture artifacts.
• Deliver solutions that are inventive, maintainable, scalable, and extensible.

Influence

• Autonomously drive discussions with security engineers, software engineers, product managers, and scientist peers across multiple teams.
• Build consensus on larger cross-team security initiatives and factor complex efforts into independent workstreams.
• Identify and resolve endemic problems, including areas where current security tooling limits innovation of partner teams.
• Contribute to the broader internal and external scientific communities as a subject matter expert in AI security.

About the team

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.

Analysis Skills, Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Best Practices, Certified Coding Specialist (CCS), Cloud Computing, Code Reviews, Communication Skills, Computer Security, Cryptography, Customer Experience, Develop and Maintain Customers, Healthcare, Home Automation, IEEE (Institute of Electrical and Electronic Engineers), Information/Data Security (InfoSec), Injections, MCP - Microsoft Certified Professional, Machine Tool, Model Validation, Natural Language Processing (NLP), Network Traffic Analysis, Problem Solving Skills, Production Systems, Quality Assurance Methodology, Research & Development (R&D), Retail, Scalable System Development, Scientific Method, Security Attacks, Security Monitoring, Security Software, Software Engineering, Technical Delivery, Time Tracking

Amazon.com Inc At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

It’s Always Day 1 At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day - to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

Our Leadership Principles Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles

Company Size: 10,000 employees or more

Industry: Retail