AI Security Engineering Leader

Amazon

Seattle (WA)

On-site

USD 175,000 - 237,000

Full time

3 days ago

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Job summary

Amazon is seeking a Security Engineering Manager to lead a team of AI security engineers focused on securing AI applications across Amazon's services. You will hire, coach, and grow engineers, set priorities, and partner with software teams to build secure AI systems.

You will drive security design, perform threat modeling, and develop automation to scale security reviews. This role requires strong leadership and a deep knowledge of AI security practices within a fast-paced environment.

Qualifications

5+ years of managing and developing teams experience.
5+ years of progressive work within a software security team or related operating environment experience.
Knowledge of security of web services, cryptography, network security protocols and operating system security.
Experience applying threat modeling or other risk identification techniques or equivalent.
Certification such as CISSP, GIAC (preferred).
Master's degree in Computer Science or a related field (preferred).
Experience managing remote team members (preferred).

Responsibilities

Lead, hire, and develop a team of AI security engineers. Own their performance, career growth, and team health.
Own the security of the AI applications in your team's scope, including threat modeling, design and architecture review, manual and automated code review, risk assessments, and analysis of security bug reports.
Make and communicate clear risk decisions to engineering and business leaders, document the tradeoffs, and hold the bar when it matters.
Engage development teams early in the development process, so security is designed in from the start and late-stage tradeoffs are kept to a minimum.
Drive investment in AI security automation, tooling, and secure-by-default frameworks that let your team's expertise scale beyond manual review.
Lead AI security research into emerging threats against generative AI and agentic applications, and turn the findings into practical guidance and mechanisms.
Run AI security training and outreach for internal development teams.
Influence the priorities and processes of your team, your partner teams, and the wider AI & AGI Security organization to improve security outcomes.
Define and report metrics that show whether the program is working, such as review coverage, time to remediate, and recurrence of vulnerability classes.