Software Engineer, AI Security

Amazon • Seattle, WA

2d • Onsite

About The Position

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.

Requirements

• 3+ years of non-internship professional software development experience
• 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
• 1+ years of Object Oriented Design experience
• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field

Nice To Haves

• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

Responsibilities

• 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.
• 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.
• 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 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.
• 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.
• 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.

Benefits

• sign-on payments
• restricted stock units (RSUs)
• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level