AI Cost Optimization Engineer Salary.
Across 30 U.S. cities.
$172,000
national median salary
$130,000 to $225,000. Last updated April 2026.
Highest Paying
$244,000
San Jose, CA
Best Purchasing Power
$179,000
New York, NY
Lowest Paying
$135,000
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 Cost Optimization Engineer salary in the United States is $172,000 in 2026, with the full range spanning $130,000 at the 25th percentile to $225,000 at the 75th. San Jose pays the most at $244,000, while New York offers the best purchasing power after cost-of-living adjustments. Salary scales directly with the size of AI compute budgets managed and measurable cost reductions delivered.
AI Cost Optimization Engineer salary by city
What you should know
Salary scales directly with the size of AI compute budgets managed and measurable cost reductions delivered. Engineers who achieve 30 to 50% infrastructure cost savings on multi-million dollar GPU spend are highly compensated. Expertise in spot instance strategies, model distillation, and inference optimization drives top offers.
Junior cost optimization engineers begin at $110,000 to $130,000 analyzing spend patterns. Mid-level engineers implementing optimization strategies earn $150,000 to $172,000. Senior engineers driving organization-wide AI cost strategy reach $200,000 to $225,000, with director roles exceeding $260,000.
Performance bonuses of 15 to 25% are common, frequently tied to quantified cost savings achieved. Some companies offer profit-sharing arrangements where engineers receive a percentage of documented annual infrastructure savings.