Design, prototype, and ship safety for AI driven threats across CBRN, Cyber, Agentic, Fraud risks with classifiers, runtime policy enforcement, and ML systems. Own the technical vision and reference architecture for safeguarding agentic systems across tool use, planning, memory, and multi-agent interactions, etc. 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.
Job description provided by Google.
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