AI Fintech Engineer Salary.
Across 30 U.S. cities.
$188,000
national median salary
$140,000 to $248,000. Last updated April 2026.
Highest Paying
$256,000
San Francisco, CA
Best Purchasing Power
$195,000
Baltimore, MD
Lowest Paying
$148,000
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 Fintech Engineer salary in the United States is $188,000 in 2026, with the full range spanning $140,000 at the 25th percentile to $248,000 at the 75th. San Francisco pays the most at $256,000, while Baltimore offers the best purchasing power after cost-of-living adjustments. Pay scales with the revenue impact of models deployed.
AI Fintech Engineer salary by city
What you should know
Pay scales with the revenue impact of models deployed. Engineers building real-time fraud detection, algorithmic trading, or credit risk systems at major banks and hedge funds earn significantly more. Regulatory knowledge around SOX and Basel III compliance adds further premium.
Junior ML engineers in finance start around $120,000. Senior AI fintech engineers earn $180,000 to $220,000. Quant research leads and heads of AI at financial institutions reach $300,000 to $450,000 including bonuses.
Finance sector bonuses often reach 25% to 50% of base salary. Hedge fund and prop trading roles may include profit-sharing. RSUs at public fintech firms add substantial long-term value.