$200,000
median · per year, annualized USD
$108,000
median · per year, annualized USD
Senior Software Engineer, Machine Learning (Audio)
Senior/Staff Backend Engineer, Applied AI
Senior/Staff Full Stack Engineer, Applied AI
Machine Learning Engineer - Fraud Risk
Backend Engineer, AI
Research Engineer, Machine Learning (RL Velocity)
Research Engineer, Machine Learning (Reinforcement Learning)
Research Engineer, Machine Learning (RL Velocity)
Research Engineer, Machine Learning (Reinforcement Learning)
Senior AI Security Engineer II
Principal Business Intelligence Analyst
Sr Business Intelligence Analyst-Analytics Engineering
Senior Business Intelligence (BI) Analyst
Senior Business Intelligence Analyst
Senior Business Intelligence Analyst – Product Analytics
Senior Business Intelligence Analyst
Lead BI/Data/Web Developer
Lead BI Developer
Lead BI Developer
Lead BI Developer
| Company | Median | Roles |
|---|---|---|
Launch Potato
|
$135,000 | 6 |
ZoomInfo Technologies LLC
|
$160,290 | 2 |
Viral Nation Inc.
|
$80,000 | 2 |
| IC Impact.com | $180,000 | 1 |
Canarytechnologies
|
$160,000 | 1 |
Contentful
|
$148,000 | 1 |
| TT The Trade Desk | $146,200 | 1 |
TEGNA Inc.
|
$142,500 | 1 |
| Location | Median | Roles |
|---|---|---|
| Singapore | $250,000 | 4 |
| San Francisco | $229,225 | 464 |
| New York | $220,000 | 350 |
| Seattle | $205,500 | 95 |
| Chicago | $205,000 | 37 |
| Los Angeles | $200,000 | 33 |
| Bangalore | $194,838 | 3 |
| Austin | $194,500 | 45 |
| Sydney | $190,000 | 3 |
| Toronto | $187,359 | 61 |
| Location | Median | Roles |
|---|---|---|
| New York | $135,000 | 7 |
The median for AI Engineer is $200,000 per year (typically $165,000–$243,109), versus $108,000 for BI Analyst ($87,500–$145,080). That puts AI Engineer about 85% ahead at the median.
Both figures are computed live from active listings on JobsRadar and normalized to annualized USD, so AI Engineer and BI Analyst are compared on equal terms regardless of the currency each role was originally posted in. Only roles that publish a salary range feed the medians; numbers refresh every few hours as new roles post and older ones close, so this comparison reflects the market right now rather than a fixed survey. Use it as a directional benchmark when weighing one path against the other.