Software Engineer, AI Security

Amazon; New York (NY); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Mentorship program

Work-life harmony initiatives

Continuous training opportunities

Job summary

Amazon is seeking an SDE 1 to join their innovative Security team in New York. This role involves developing security-focused software to enhance a vulnerability auditing platform and deliver features that safeguard AI-integrated systems. You will engage with diverse experiences and learn from team mentorship to improve operational processes.

Join Amazon Security where continued learning, DEI at the forefront, and a commitment to work-life balance are central to the culture, ensuring the fulfillment of professional and personal life.

Qualifications

• Experience in security-focused software development.
• Familiarity with AI and machine learning principles.
• Strong problem-solving skills and ability to mentor others.

Responsibilities

• Design and maintain security features for the vulnerability auditing platform.
• Develop tools for vulnerability detection.
• Ensure operational health of developed features.

Skills

Security-focused software development

Collaboration with applied scientists

Mentorship and team development

Operational excellence

Education

Bachelor's Degree in Computer Science or related field

Tools

Automated scanning tools

Development frameworks

Telemetry and monitoring tools

Job description

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

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. You do not need to have a traditional path to have a chance.

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.

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 we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.