Amazon.com Inc logo

Software Engineer, AI Security

Amazon.com Inc

  • Seattle, WA
  • 30+ days ago

    Highlights

    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. As an SDE 1 on this team, you will contribute to the design, development, testing, deployment, and operation of security-focused software systems that help identify and mitigate vulnerabilities across AI-integrated applications.

    Numbers & Facts

    LocationSeattle, WA
    IndustryRetail
    Company Size10,000 employees or more
    Year Founded1994
    Websitehttp://Amazon.com/militaryroles

    Description

    We are building a first-of-its-kind vulnerability auditing and review platform for LLM and foundational model integrated software including components like foundational models, MCP servers, agents, and agent skills/capabilities. As an SDE 1 on this team, you will contribute to the design, development, testing, deployment, and operation of security-focused software systems that help identify and mitigate vulnerabilities across AI-integrated applications.

    This is an opportunity to work at the intersection of AI safety, security research, and platform engineering within one of Amazon"s most innovative organizations.

    Key job responsibilities

    Platform Development & Feature Delivery

    • Design, implement, test, deploy, and maintain security-focused features for the vulnerability auditing and review platform.
    • Build and extend vulnerability detection capabilities for LLM-integrated services and tools including foundational models, MCP servers, agents, and agent skills/capabilities.
    • Deliver working software features end-to-end, working backwards from customer requirements through production deployment and ongoing operations.
    • Refactor and deprecate existing systems as the platform evolves, ensuring long-term maintainability and extensibility.

    Security & AI Safety Engineering

    • Develop automated scanning and analysis tooling to identify security vulnerabilities in AI-integrated software components.
    • Implement detection mechanisms for adversarial attacks, prompt injection, capability boundary violations, and other LLM-specific threat vectors.
    • Collaborate with applied scientists to translate AI safety research into production-grade platform features.
    • Apply secure coding practices and threat modeling to all platform components.

    Operational Excellence

    • Own operational health of your features monitor, alarm, triage, and resolve production issues.
    • Identify root causes of operational failures and implement permanent fixes; never settle for the status quo.
    • Proactively identify and execute on opportunities to improve the team"s operational posture (automation, runbooks, telemetry, dashboards).
    • Make effective priority tradeoffs between new feature development and operational improvements.

    Design & Technical Leadership

    • Design software solutions that bring clarity to difficult problems with visible risks or roadblocks.
    • Participate actively in code reviews, providing meaningful and constructive feedback to engineers at all levels.
    • Document how the platform is constructed, tested, operated, and secured and how it fits into the broader AI safety ecosystem.
    • Keep skills current; evaluate and apply industry innovations in security, AI safety, and software engineering where applicable.

    Mentorship & Team Development

    • Actively mentor SDE 1s and new team members to accelerate their productivity and growth.
    • Train new teammates on platform architecture, operational practices, and team norms.
    • Contribute to hiring efforts through interviews, candidate assessments, and bar-raising.

    Collaboration & Communication

    • Work with customers, stakeholders, and peers (including applied scientists) to understand business and customer value and ensure the platform solves the right problems.
    • Resolve disagreements with peers through constructive, inclusive dialogue.
    • Communicate effectively about the work you deliver status, risks, tradeoffs, and outcomes.

    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, hasnt followed a traditional path, or includes alternative experiences, dont 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 Amazons 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, its 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

    Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll 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 we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, theres nothing we cant achieve.

    About Company

    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

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