Security Engineer II, AWS Applied AI Solutions Security

AI Security Engineer (SecEng)

As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.

As an AI Security Engineer (SecEng), you will collaborate with our development teams to ensure we keep our customers safe while developing novel AI-powered services. The ideal candidate combines deep technical security acumen with specialized expertise in AI/ML security and an ability to lead by influence and communicate clearly. Technically, this person will be a security generalist with deep expertise in AI security, including model security, adversarial ML, secure AI development practices, and agentic AI security. In their communication, they will clearly articulate AI-specific risks—from model poisoning to prompt injection to data exfiltration through AI agents—to technical and non-technical audiences alike. Interpersonally, successful candidates will effectively harmonize disparate opinions while effectively prioritizing AI security risks to guide their partners towards secure AI solutions.

Key Job Responsibilities

AI Security Core Responsibilities:

• Creating, updating, and maintaining threat models specifically for AI/ML systems, including LLMs, agentic AI platforms, model training pipelines, and AI inference services
• Security architecture and design guidance for AI systems, including secure model deployment, AI agent orchestration security, and AI supply chain security
• AI-specific secure code review for ML training pipelines, inference services, and agentic AI frameworks

Security Engineering Responsibilities:

• Manual and automated secure code review for AI/ML applications and supporting infrastructure
• Application security reviews
• Secure architecture design and threat modeling
• Projects and research work as needed
• Security guidance documentation
• Security metrics delivery and improvements
• Security analysis of AI agent tool use, function calling, and external integrations
• Data privacy and security review for AI training data, including PII detection, data lineage tracking, and secure data handling in ML pipelines
• Model governance and security controls for model versioning, access control, and audit logging

Leadership and Influence:

• Security training and outreach for AI/ML development teams on secure AI development practices
• Independently solve AI security problems that require novel methods or approaches
• Influence your team's and partners' process, priorities, and choices to improve AI security outcomes
• Drive adoption of responsible AI practices and AI risk management frameworks

About The Team

Amazon Security Values Diverse Experiences. Even if you don't meet all qualifications, we encourage you to apply.

Why Amazon Security

At Amazon, security is central to customer trust. Our organization maintains high security standards across all products and services, especially as AI becomes increasingly integrated into customer experiences. We offer talented professionals opportunities to build experience in cloud, devices, retail, entertainment, healthcare, and operations.

Why AWS

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating—that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

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.

Inclusive Team Culture

Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity and AmazeCon conferences, inspire us to never stop embracing our uniqueness.

Mentorship and 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, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.