Principal AI Safeguards Architect

Google LLC; Sunnyvale (CA); On-site; USD 307,000 - 427,000; Full time

Job summary

Google LLC in Sunnyvale, CA, seeks a Principal Engineer, Cloud AI Safeguards, a senior technical authority for safety across the Cloud AI portfolio with a focus on agentic safety. You will define architecture, set engineering standards, and personally design defenses that reduce risk as models and adversaries evolve.

The ideal candidate integrates curiosity and objectivity, collaborates across teams, and communicates complex ideas clearly to drive scalable safety for Vertex AI and Gemini

Qualifications

• Bachelor’s degree in Computer Science or equivalent practical experience.
• 15 years of professional experience in engineering leadership or related technical roles.
• Experience in AI and machine learning, including building and deploying classifiers and ML systems in production.

Responsibilities

• Design, prototype, and ship safety for AI driven threats across CBRN, Cyber, Agentic, Fraud risks with classifiers, runtime policy enforcement, and ML systems.
• Lead threat modeling for increasingly complex attack surfaces, anticipating adversary behavior and translating it into concrete engineering requirements and defenses.
• Shape the shared safety and security infrastructure that AI workloads depend on, ensuring defenses are reusable across products.
• Work objectively across teams and team members to diagnose problems, recommend solutions, align on standards, and raise the engineering bar through design reviews, mentorship, etc.
• Build data analysis, detection, and response capabilities needed to observe safety-relevant behavior at scale, measure efficacy, and close the loop quickly when threats emerge.

Skills

Engineering leadership

AI/ML experience

Production ML systems

Education

Bachelor's degree in Computer Science

Tools

Vertex AI

Gemini Enterprise

Job description

Google LLC in Sunnyvale, CA, seeks a Principal Engineer, Cloud AI Safeguards, a senior technical authority for safety across the Cloud AI portfolio with a focus on agentic safety. You will define architecture, set engineering standards, and personally design defenses that reduce risk as models and adversaries evolve.

The ideal candidate integrates curiosity and objectivity, collaborates across teams, and communicates complex ideas clearly to drive scalable safety for Vertex AI and Gemini