Wilson Sonsini Goodrich & RosatiData

Senior AI Risk Advisor

Remote (US)$147,050 - $220,800 per yearPosted today

Wilson Sonsini is seeking a Senior AI Risk Advisor to lead AI risk management, governance, and compliance efforts at a leading law firm, focusing on responsible AI adoption and regulatory navigation.

Location: Remote (US)

Salary: $147,050 - $220,800 per year

Responsibilities

Lead AI risk assessments across the full model lifecycle — evaluating third-party AI vendors, foundation models, and AI-powered platforms for data privacy risks, model behavior, security posture, and regulatory compliance before and after deployment
Architect and continuously evolve the firm’s AI governance framework — designing policies, standards, and controls that are substantive, practical, and calibrated to actual AI risk rather than checkbox compliance
Go deep on vendor AI documentation — evaluating model cards, system cards, data processing agreements, and security questionnaires with the technical fluency to identify what matters, ask the right questions, and drive vendors toward meaningful remediation
Stay ahead of the AI regulatory curve — tracking developments across the EU AI Act, emerging U.S. state AI laws, bar association guidance on AI in legal practice, and frameworks such as the NIST AI RMF and ISO 42001, translating them into actionable firm guidance
Serve as the firm’s internal AI risk expert — partnering with Information Security, IT, General Counsel, and practice group leadership to evaluate novel AI use cases with both technical depth and business judgment, enabling the firm to move fast while managing risk intelligently
Represent the firm’s AI governance posture externally — responding to client inquiries about AI use and positioning the firm as a leader in responsible AI adoption within the legal industry
Perform related duties as assigned by supervisor
Maintain compliance with all company policies and procedures

Requirements

Bachelor’s degree required
One year of experience in AI risk, AI governance, information security, or technology risk; hands-on experience working with or evaluating AI/ML systems, LLMs, or AI-enabled products is highly valued
Relevant certifications such as AIGP are a plus but not a substitute for real AI expertise
Strong working knowledge of AI and machine learning concepts — including how large language models work, how generative AI systems are built and fine-tuned, common failure modes, and how AI-enabled products are actually deployed in enterprise environments
Solid grasp of AI risk and governance frameworks (NIST AI RMF, ISO/IEC 42001, EU AI Act) and the ability to apply them practically rather than theoretically — we want someone who knows when a framework helps and when to go beyond it
Solid understanding of data privacy and confidentiality considerations specific to AI systems, including training data risks, inference risks, and applicable regulations such as GDPR and CCPA
Experience evaluating AI vendors or conducting third-party technical due diligence, with the ability to read model documentation critically and ask substantive questions that go beyond standard security questionnaires
Experience in a law firm or professional services environment is a plus; more important is the ability to engage credibly with sophisticated stakeholders and translate complex AI risk concepts into clear, actionable guidance
Excellent communication skills — able to explain model risk, brief a committee on AI governance, and write policy that people will actually read and follow
Excellent computer proficiency (MS Office – Word, Excel and Outlook)
Comfortable working in a fast-moving environment where the AI landscape shifts faster than any governance framework can keep up — able to make sound risk judgments under ambiguity and bring stakeholders along with you
Self-directed and resourceful — able to build a program from the ground up, prioritize intelligently across competing demands, and drive work to completion without waiting to be told exactly how