Top AI Ethics Jobs in San Francisco Bay Area, CA

Lead Cognition’s safety function for Devin and its underlying models. Set safety strategy, build evaluations and red-teaming for agentic risks, shape model training and agent-harness safeguards, establish deployment policies, and hire and lead safety researchers and engineers. The role requires hands-on frontier AI safety or alignment experience, agentic systems expertise, research credibility, technical fluency, and strong judgment under uncertainty.

Manage AI safety and regulatory programs from risk assessment through safeguard deployment. Responsibilities include incident response, post-incident reviews, safety controls, technical documentation, transparency reports, regulatory submissions, and coordination with Legal, research, engineering, and other cross-functional teams. The role translates emerging AI regulations into operational processes and ensures safeguards function effectively for high-risk AI applications.

Lead frontier AI safety research spanning responsible AI, trust and safety, model evaluation, adversarial robustness, and agentic safety. Design benchmarks, evaluation frameworks, red-teaming methods, and safety research for text, image, multimodal, and autonomous systems. Publish research, collaborate with leading AI labs and academic institutions, advise enterprise clients, translate findings into safety products, and mentor researchers and engineers.

Develop and implement safety mitigations for frontier scientific AI models, agents, tools, and laboratory-connected workflows. Translate risk assessments and policy requirements into safeguards spanning training, classifiers, monitoring, access controls, and runtime interventions. Design experiments, evaluate robustness and legitimate-use impacts, investigate failures and distribution shifts, and integrate mitigations with model training, inference, platform, and evaluation teams.

Develop and execute enterprise AI and data strategies for clients, including AI value cases, operating models, talent strategies, technology roadmaps, responsible AI plans, and commercialization opportunities. Build trusted C-suite relationships, lead transformation workstreams, shape new business opportunities, and guide large-scale AI-enabled reinvention initiatives. The role requires consulting experience, strong program management and communication skills, leadership capability, and up to 80% travel.

Design and implement technical AI governance frameworks for generative and agentic AI systems. Assess ethical, safety, security, and sociotechnical risks; evaluate architectures, data flows, permissions, tool integrations, and human oversight; and develop practical mitigations and controls. Partner with engineering, product, legal, security, and business teams to embed responsible AI practices, conduct red teaming and risk assessments, support regulatory alignment, and advance AI literacy across the organization.

Lead and build Thinking Machines’ product policy function, establishing usage, content, safety, model release, and developer-facing policies. Hire and manage a team, create product and model risk review frameworks, develop decision-making infrastructure, and partner with Research, Product, Trust & Safety, Communications, Public Policy, and Legal. Translate complex AI policy questions into actionable executive recommendations and responsible launch mitigations.

Lead Sutter Health's AI governance program: set operating model and policies, manage a team of analysts, conduct high-complexity reviews, draft standards, prioritize AI use cases, and coordinate cross-functional stakeholders to integrate governance across model development and monitoring lifecycles.

Lead AI Governance initiatives with strategic customers, translate customer insights and regulations into product vision and roadmap, guide development of AI inventories, risk management, policy and governance workflows, influence product and engineering execution, drive adoption and measurable business outcomes, and act as trusted advisor on responsible AI and compliance.

Open wildcard application to help underwrite, red-team, certify, and insure AI agents. Work across research, engineering, and policy to build agent security standards (AIUC-1). Cross-functional collaboration; equity, benefits, visa sponsorship and relocation to San Francisco offered.