New job, posted less than a week ago!
Job Details
Posted date: Jan 13, 2026
There have been 59 jobs posted with the title of Security Engineer II all time at Amazon.Location: Seattle, WA
Estimated salary: $180,850
Range: $159,300 - $202,400
Description
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
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 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
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.
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, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
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. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
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.
Qualifications
- 3+ years of programming in Python, Ruby, Go, Swift, Java, .Net, 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
- Bachelor's degree in computer science or equivalent
- Bachelor's degree in a STEM field (Science, Technology, Engineering, Mathematics), or experience in IT Security
- Bachelor's 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)
Extended Qualifications
- 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t 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 https://amazon.jobs/en/benefits.
USA, WA, Seattle - 159,300.00 - 202,400.00 USD annually
Check out other jobs at Amazon.