Security Engineer II, AWS Applied AI Solutions Security

As part of the AWS Applied AI Solutions organization we have a vision to provide business applications leveraging Amazons 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 Amazons 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 their communication they will clearly articulate AI-specific risksfrom model poisoning to prompt injection to data exfiltration through AI agentsto 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
development teams
- 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 teams 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
Amazon Security values diverse experiences. Even if you dont 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.

Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred 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 AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats 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. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.

Inclusive Team Culture
Here at AWS its 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
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- 3 years of programming in Python Ruby Go Swift C or similar object oriented language experience
- 3 years of scripting programming and security code review in a common programming language (non-internship) experience
- 2 years of troubleshooting systems issues analyzing logs or automating basic tasks using command line tools (non-internship) experience
- Bachelors degree in computer science or equivalent
- Bachelors degree in a STEM field (Science Technology Engineering Mathematics) or experience in IT Security
- Bachelors degree in a STEM field (Science Technology Engineering Mathematics) or 2 years of IT Security experience
- Knowledge of networking protocols such as HTTP DNS and TCP/IP
- Knowledge of industry-based security vulnerabilities and remediation techniques
- Experience in scripting programming and security code reviewing in a common programming language (non-internship)
- Experience in troubleshooting systems issues analyzing logs or automating basic tasks using command line tools (non-internship experience)

- 3 years of any combination of the following: threat modeling experience secure coding identity management and authentication software development cryptography system administration and network security experience
- 2 years of scripting programming or security code review in a common language such as Python Java or C experience
- Knowledge of command line tools to troubleshoot protocols analyze log outputs or automate basic tasks
- Knowledge of system security vulnerabilities and remediation techniques including penetration testing and the development of exploits or equivalent
- Knowledge of networking protocols to include HTTP(S) DNS and TCP/IP
- Experience with AWS products and services
- Experience with programming languages such as Python Java C
- Experience in scripting programming or security code reviewing in a common language such as Python Java or C
- Experience performing security activities across one or more phases of the software development lifecycle (SDLC) such as security design review threat modeling secure code review and security testing

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including 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 and parental leave. Learn more about our benefits at WA Seattle - 159300.00 - 202400.00 USD annually