AI Analytics Engineer Salary.
Across 30 U.S. cities.
$142,000
national median salary
$108,000 to $185,000. Last updated April 2026.
Highest Paying
$200,000
San Jose, CA
Best Purchasing Power
$148,000
Washington DC, DC
Lowest Paying
$125,000
Indianapolis, IN
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 Analytics Engineer salary in the United States is $142,000 in 2026, with the full range spanning $108,000 at the 25th percentile to $185,000 at the 75th. San Jose pays the most at $200,000, while Washington DC offers the best purchasing power after cost-of-living adjustments. AI analytics engineers who build data models and dashboards for ML performance monitoring earn salaries driven by business impact and technical depth.
AI Analytics Engineer salary by city
What you should know
AI analytics engineers who build data models and dashboards for ML performance monitoring earn salaries driven by business impact and technical depth. Experience with experiment tracking, model monitoring, and A/B testing frameworks adds 10 to 15% to compensation. Companies in fintech and healthcare pay above-market rates for this role.
Junior AI analytics engineers start at $108,000 to $125,000. Mid-level engineers with 3 to 5 years reach $142,000 to $185,000. Senior analytics engineers earn $190,000 to $240,000, while analytics engineering managers and directors of ML analytics can command $250,000 to $320,000.
Equity grants typically represent 10 to 20% of base salary at growth-stage companies. Annual bonuses range from 8 to 15%. Some firms offer profit-sharing arrangements, and remote work flexibility is common, though Bay Area-based roles pay 20 to 30% more.