AI Risk Manager Salary.
Across 30 U.S. cities.
$175,000
national median salary
$135,000 to $225,000. Last updated April 2026.
Highest Paying
$244,000
San Jose, CA
Best Purchasing Power
$182,000
Seattle, WA
Lowest Paying
$134,000
Charleston, WV
Salary data sourced from SEC filings, H-1B Labor Condition Applications (DOL), Bureau of Labor Statistics Occupational Employment and Wage Statistics, and aggregated job postings across 50+ platforms. Ranges reflect 25th to 75th percentile for full-time positions. Cost-of-living adjustments use Bureau of Economic Analysis Regional Price Parities (2025 index). Last updated April 2026.
The average AI Risk Manager salary in the United States is $175,000 in 2026, with the full range spanning $135,000 at the 25th percentile to $225,000 at the 75th. San Jose pays the most at $244,000, while Seattle offers the best purchasing power after cost-of-living adjustments. Pay is driven by expertise in AI-specific risk frameworks, including model risk management, adversarial robustness, and deployment safety protocols.
AI Risk Manager salary by city
What you should know
Pay is driven by expertise in AI-specific risk frameworks, including model risk management, adversarial robustness, and deployment safety protocols. Managers with experience in regulated industries like banking or healthcare earn 15 to 20% more. Ability to quantify AI risk in financial terms is a key salary differentiator.
Junior AI risk analysts start at $95,000 to $120,000. AI risk managers earn $135,000 to $175,000. Senior risk managers reach $190,000 to $250,000, and chief AI risk officers or VP-level roles at financial institutions command $270,000 to $400,000 in total compensation.
Annual bonuses of 15 to 25% are standard in financial services. Equity at AI companies adds $30,000 to $70,000 annually. Retention bonuses are common due to the scarcity of professionals combining risk management expertise with AI technical knowledge.