Senior Staff AI/ML Security Architect

Google

Kirkland (WA)

On-site

USD 262,000 - 364,000

Full time

2 days ago
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Benefits offered by this job

Health insurance
401(k) match
Paid time off
Sick time
Maternity leave
Baby bonding leave
Paid holidays

Job summary

Google Cloud seeks a Senior Staff Software Engineer for AI/ML Security to drive architectural strategy for model armor and sensitive data protection at a global scale. You will lead the design of scalable defenses against prompt injection, jailbreaking, and data leakage, while coordinating across Google Cloud, DeepMind, and other product areas.

You will mentor engineers and researchers, translate security goals into measurable, high-impact solutions for the generative AI era, and work with

Qualifications

  • Bachelor’s degree or equivalent practical experience.
  • 8 years of experience in software development.
  • 7 years leading technical project strategy, ML design, and ML infra.
  • 5 years with design/architecture and testing/launching software products.
  • 5 years in Cloud.

Responsibilities

  • Define long-term technical goal and architectural strategy for model armor and data protection.
  • Lead design/implementation of scalable, low-latency systems to detect threats like prompt injection and data leakage.
  • Align security roadmaps across Google Cloud, DeepMind, and other product areas.
  • Resolve technical disagreements among engineers and researchers to deliver cross-functional objectives.
  • Mentor staff and executives on ML security to elevate domain expertise.

Skills

ML security
Cloud security
Leadership
Java programming
Distributed systems

Education

Bachelor's degree or equivalent
Master’s or PhD in Engineering/CS

Tools

Security tools

Job description

Google Cloud seeks a Senior Staff Software Engineer for AI/ML Security to drive architectural strategy for model armor and sensitive data protection at a global scale. You will lead the design of scalable defenses against prompt injection, jailbreaking, and data leakage, while coordinating across Google Cloud, DeepMind, and other product areas.

You will mentor engineers and researchers, translate security goals into measurable, high-impact solutions for the generative AI era, and work with

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