AI Engineer vs Database Administrator: Which Pays More?
Side-by-side salary comparison by city, experience level, and career growth outlook. Data reflects current market rates.
AI Engineer
Build AI-powered products and integrate LLMs into applications.
Database Administrator
Design, implement, and maintain databases for performance, security, and reliability.
AI Engineer earns more on average — the national median is $23,552/year (24%) higher than a Database Administrator. However, salaries vary significantly by city, employer, and experience level — see the city-by-city breakdown below.
AI Engineer vs Database Administrator — Salary by City
National median figures in USD across top cities.
| City | AI Engineer | Database Administrator | Difference |
|---|---|---|---|
| San Francisco, CA | $173,327 | $143,960 | AI +$29,367 |
| New York, NY | $135,980 | $113,900 | AI +$22,080 |
| Seattle, WA | $173,703 | $137,758 | AI +$35,945 |
| Austin, TX | $137,883 | $110,792 | AI +$27,091 |
| Chicago, IL | $129,960 | $100,682 | AI +$29,278 |
| Boston, MA | $159,072 | $127,909 | AI +$31,163 |
| London, UK | £78,216 | £77,179 | AI +$1,037 |
| Toronto, Canada | CA$134,265 | CA$127,247 | AI +$7,018 |
Frequently Asked Questions
Does a AI Engineer or Database Administrator earn more?+
A AI Engineer earns more on average. The national median salary for a AI Engineer is $120,230/year, compared to $96,678/year for a Database Administrator — a difference of $23,552 (24%).
Which has better career growth — AI Engineer or Database Administrator?+
AI Engineer roles are growing at 55% YoY while Database Administrator demand is growing at 8% YoY. AI Engineer has stronger near-term demand growth.
Can you switch from AI Engineer to Database Administrator?+
Yes. Many professionals transition between these roles, especially since both are in the same category. Shared skills include: analytical thinking, communication, and industry knowledge.
Which is harder to automate — AI Engineer or Database Administrator?+
AI Engineer has a lower AI automation risk (18% vs 42%). Based on Oxford Martin School and McKinsey 2023 analysis.