AI Observability Engineer Salary.
Across 30 U.S. cities.
$165,000
national median salary
$125,000 to $218,000. Last updated April 2026.
Highest Paying
$237,000
San Jose, CA
Best Purchasing Power
$172,000
San Jose, CA
Lowest Paying
$125,000
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 Observability Engineer salary in the United States is $165,000 in 2026, with the full range spanning $125,000 at the 25th percentile to $218,000 at the 75th. San Jose pays the most at $237,000, while San Jose offers the best purchasing power after cost-of-living adjustments. Salary varies with the depth of monitoring infrastructure built and the complexity of ML systems observed.
AI Observability Engineer salary by city
What you should know
Salary varies with the depth of monitoring infrastructure built and the complexity of ML systems observed. Engineers who design custom metrics for model performance, data quality, and inference latency earn more. Expertise in distributed tracing for ML pipelines and building alerting systems for prediction drift increases value.
Entry-level observability engineers start at $105,000 to $125,000. Mid-career professionals building production monitoring stacks earn $145,000 to $165,000. Senior engineers architecting enterprise observability platforms reach $190,000 to $218,000, with director roles at $235,000 to $270,000.
Annual bonuses of 10 to 18% are typical, with some companies offering spot bonuses for reducing model incidents. Equity components are strongest at observability platform vendors and AI-first companies.