AI Governance, Risk and Compliance Jobs

An AI governance job sets and enforces the policies, risk controls, and oversight that keep an organization's AI systems safe, compliant, and accountable. It spans governance, risk, compliance, privacy, and audit, and works across legal, engineering, and the business.

On GRC Careers, posted ranges most often run from about $120,000 to $270,000, with a median near $150,000. Director, VP, and chief jobs reach $300,000 and above. About four in ten listings currently show a salary range, and we require a good-faith range on every new posting.

Common credentials include AIGP (AI Governance Professional), CIPP and CIPM for privacy, and CRISC, CISA, or CISM for risk and audit. ISO/IEC 42001 covers AI management systems. Most jobs value framework fluency, such as the NIST AI RMF and the EU AI Act, over any single certificate.

Employers post directly on GRC Careers, the specialist board for governance, risk, compliance, and AI governance. Every listing is hand reviewed and eligible for Google for Jobs. Start from the Post a Job page.

Employers across every regulated and mission-driven sector post here. That includes banking, insurance, and financial services; mortgage and consumer finance; fintech and technology; healthcare, hospital systems, and health insurers; pharmaceuticals and life sciences; higher education and universities; nonprofits and foundations; energy and utilities; telecommunications; defense, aerospace, and government contractors; and the public sector at every level, from federal agencies to state and local government. If an organization answers to regulators or handles sensitive data, its governance, risk, compliance, privacy, audit, and AI oversight jobs belong on GRC Careers.

No. Most AI governance, risk, and compliance jobs are built on policy, legal, compliance, risk, audit, and privacy expertise rather than coding. What matters is fluency in the frameworks and regulations that shape the field, such as the NIST AI RMF, ISO/IEC 42001, and the EU AI Act, plus the judgment to turn them into controls the business can actually follow. People move into AI governance from compliance, law, internal audit, privacy, and public policy every day. A technical background helps for hands-on jobs like AI security or model risk, but for the governance, oversight, and program side it is an asset, not a requirement.