AI Platform Engineer Salary.
Across 30 U.S. cities.
$190,000
national median salary
$145,000 to $245,000. Last updated April 2026.
Highest Paying
$273,000
San Jose, CA
Best Purchasing Power
$198,000
San Jose, CA
Lowest Paying
$149,000
Jackson, MS
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 Platform Engineer salary in the United States is $190,000 in 2026, with the full range spanning $145,000 at the 25th percentile to $245,000 at the 75th. San Jose pays the most at $273,000, while San Jose offers the best purchasing power after cost-of-living adjustments. Compensation scales with experience building internal ML platforms that serve multiple teams.
AI Platform Engineer salary by city
What you should know
Compensation scales with experience building internal ML platforms that serve multiple teams. Engineers who have designed self-service model training and deployment systems earn top-tier pay. Expertise in Kubernetes-based ML orchestration, feature stores, and model registries drives significant salary differentiation.
Junior platform engineers start at $110,000 to $135,000. Mid-level AI platform engineers earn $145,000 to $190,000. Senior roles reach $210,000 to $280,000, and staff-level platform architects at major tech companies command $300,000 to $420,000 total compensation.
Equity grants are substantial at AI companies, often adding 25 to 40% above base salary. Signing bonuses of $25,000 to $60,000 are common, with annual refreshers tied to platform adoption metrics and team productivity gains.