[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Amazon jobs](https://jobs.opennash.com/companies/amazon/) · [Search jobs](/search/) Amazon · New York, NY # Applied Scientist, AGI/AI Security US, NY, New York Research & Science Listed on Amazon’s official careers site. Posted October 6, 2026. Check that it is still open and apply there. [Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10570354/applied-scientist-agi-ai-security) [OpenNash Jobs](https://jobs.opennash.com/) / [Amazon](https://jobs.opennash.com/companies/amazon/) / Applied Scientist, AGI/AI Security ## Job description 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. 2. 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. 3. 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. 4. 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. Key job responsibilities ### 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. ## At a glance - Posted by the employer: Oct 6, 2026 - First seen by OpenNash: Oct 11, 2026 - Last checked: Oct 18, 2026 - Listed for: 12 days - Location: US, NY, New York[Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10570354/applied-scientist-agi-ai-security) ## More jobs at Amazon ### [Applied Scientist, Sponsored Products](https://jobs.opennash.com/companies/amazon/jobs/da0e61acafa3fce874f9/) US, NY, New York ### [Applied Scientist - Fault-Tolerant Quantum Computing, Amazon Braket](https://jobs.opennash.com/companies/amazon/jobs/7ab4650e20a711f335c4/) US, NY, New York ### [Applied Scientist II, Advertising Incrementality Measurement](https://jobs.opennash.com/companies/amazon/jobs/3c55fba0b172480a33da/) US, NY, New York ### [Applied Scientist III, AI & AGI Security](https://jobs.opennash.com/companies/amazon/jobs/189d77980181b3220cee/) US, NY, New York ### [Applied Scientist III, Demand Technology, Amazon Demand Side Platform, Bravo Non-endemic](https://jobs.opennash.com/companies/amazon/jobs/d976c9d622eab4f5a715/) US, NY, New York ## Similar jobs at other companies ### [Senior Applied Scientist](https://jobs.opennash.com/companies/oracle/jobs/f8ed9ff14b05042cc65f/) Oracle · United States ### [Applied Scientist II](https://jobs.opennash.com/companies/microsoft/jobs/1932503c468419f688ab/) Microsoft · United States, Washington, Redmond ### [Principal Applied Scientist](https://jobs.opennash.com/companies/microsoft/jobs/6887d8f40d7a9e34526e/) Microsoft · United States, Washington, Redmond ### [Principal, Data Scientist - Applied Machine Learning](https://jobs.opennash.com/companies/walmart/jobs/8af78490b17976e76747/) Walmart · United States ### [Senior AI/ML Applied Scientist](https://jobs.opennash.com/companies/unitedhealth-group/jobs/78af7d0e20840c30720f/) UnitedHealth Group · Eden Prairie, Minnesota [Jobs in New York, NY](/locations/us/ny/new-york/)[Jobs in New York](/locations/us-ny/)[Research & Science jobs](/functions/research-science/) OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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