AI Engineer vs MLOps Engineer: 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.
MLOps Engineer
Build and maintain infrastructure for deploying machine learning models at scale.
AI Engineer earns more on average — the national median is $21,100/year (21%) higher than a MLOps Engineer. However, salaries vary significantly by city, employer, and experience level — see the city-by-city breakdown below.
AI Engineer vs MLOps Engineer — Salary by City
National median figures in USD across top cities.
| City | AI Engineer | MLOps Engineer | Difference |
|---|---|---|---|
| San Francisco, CA | $173,327 | $144,519 | AI +$28,808 |
| New York, NY | $135,980 | $119,390 | AI +$16,590 |
| Seattle, WA | $173,703 | $139,997 | AI +$33,706 |
| Austin, TX | $137,883 | $107,475 | AI +$30,408 |
| Chicago, IL | $129,960 | $108,552 | AI +$21,408 |
| Boston, MA | $159,072 | $133,124 | AI +$25,948 |
| London, UK | £78,216 | £79,867 | AI $1,651 |
| Toronto, Canada | CA$134,265 | CA$130,108 | AI +$4,157 |
Frequently Asked Questions
Does a AI Engineer or MLOps Engineer earn more?+
A AI Engineer earns more on average. The national median salary for a AI Engineer is $120,230/year, compared to $99,130/year for a MLOps Engineer — a difference of $21,100 (21%).
Which has better career growth — AI Engineer or MLOps Engineer?+
AI Engineer roles are growing at 55% YoY while MLOps Engineer demand is growing at 52% YoY. AI Engineer has stronger near-term demand growth.
Can you switch from AI Engineer to MLOps Engineer?+
Yes. Many professionals transition between these roles, especially since both are in the same category. Shared skills include: Python.
Which is harder to automate — AI Engineer or MLOps Engineer?+
AI Engineer has a lower AI automation risk (18% vs 22%). Based on Oxford Martin School and McKinsey 2023 analysis.