AI Site Reliability Engineer Salary.
Across 30 U.S. cities.
$178,000
national median salary
$135,000 to $232,000. Last updated April 2026.
Highest Paying
$253,000
San Jose, CA
Best Purchasing Power
$185,000
New York, NY
Lowest Paying
$154,000
Detroit, MI
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 Site Reliability Engineer salary in the United States is $178,000 in 2026, with the full range spanning $135,000 at the 25th percentile to $232,000 at the 75th. San Jose pays the most at $253,000, while New York offers the best purchasing power after cost-of-living adjustments. Compensation depends on scale of AI infrastructure managed and ability to maintain stringent SLAs for model serving endpoints.
AI Site Reliability Engineer salary by city
What you should know
Compensation depends on scale of AI infrastructure managed and ability to maintain stringent SLAs for model serving endpoints. Engineers supporting real-time inference with sub-100ms latency requirements command higher salaries. Multi-cloud GPU orchestration experience and cost-aware scaling expertise drive top-of-band offers.
AI SREs begin at $115,000 to $135,000 for early-career roles. Mid-level engineers earn $155,000 to $178,000 as they take ownership of production AI systems. Senior AI SREs reach $200,000 to $232,000, with principal roles exceeding $260,000.
On-call compensation adds $15,000 to $30,000 annually at most employers. RSUs at major tech companies can double total compensation, with four-year vesting schedules being standard.