AI Engineer Salary in 2025

💰 The median AI Engineer Salary in 2025 is USD 175,800

✏️ This salary info is based on 429 individual salaries reported during 2025

Submit your salary Download the data

Salary details

The average AI Engineer salary lies between USD 125,375 and USD 240,000 globally. It represents the overall compensation/gross salary amount for the working year (before deductions like social security, taxes and other contributions), not including equity/stock options or similar benefits.

Job title
AI Engineer
Experience
all levels
Region
global/worldwide
Salary year
2025
Sample size
429
Top 10%
$ 293,000
Top 25%
$ 240,000
Median
$ 175,800
Bottom 25%
$ 125,375
Bottom 10%
$ 89,100

All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated:

Salary trend

Top 20 Job Tags for AI Engineer roles

The three most common job tag items assiciated with AI Engineer job listings are Python, Engineering and Machine Learning. Below you find a list of the 20 most occuring job tags in 2025 and the number of open jobs that where associated with them during that period:

Python | 886 jobs Engineering | 853 jobs Machine Learning | 834 jobs Computer Science | 587 jobs LLMs | 566 jobs AWS | 490 jobs Generative AI | 448 jobs Azure | 445 jobs PyTorch | 437 jobs Research | 420 jobs TensorFlow | 396 jobs Pipelines | 393 jobs Architecture | 388 jobs NLP | 362 jobs APIs | 346 jobs GCP | 323 jobs Security | 298 jobs ML models | 294 jobs Deep Learning | 283 jobs MLOps | 255 jobs

Top 20 Job Perks/Benefits for AI Engineer roles

The three most common job benefits and perks assiciated with AI Engineer job listings are Career development, Health care and Startup environment. Below you find a list of the 20 most occuring job perks or benefits in 2025 and the number of open jobs that where offering them during that period:

Career development | 802 jobs Health care | 342 jobs Startup environment | 263 jobs Flex hours | 259 jobs Competitive pay | 245 jobs Equity / stock options | 208 jobs Team events | 154 jobs Flex vacation | 148 jobs Insurance | 141 jobs Parental leave | 133 jobs Salary bonus | 127 jobs Medical leave | 108 jobs 401(k) matching | 85 jobs Wellness | 58 jobs Transparency | 54 jobs Conferences | 45 jobs Fitness / gym | 37 jobs Home office stipend | 32 jobs Fertility benefits | 25 jobs Unlimited paid time off | 24 jobs

Related salaries

AI Engineer @ $ 80,101 (global) - Entry-level / Junior Details
AI Engineer @ $ 221,930 (global) - Executive-level / Director Details
AI Engineer @ $ 185,000 (global) - Senior-level / Expert Details
AI Engineer @ $ 164,610 (global) - Mid-level / Intermediate Details
AI Engineer @ $ 90,000 (United States) - Entry-level / Junior Details
AI Engineer @ $ 221,930 (United States) - Executive-level / Director Details
AI Engineer @ $ 174,400 (United States) - Mid-level / Intermediate Details
AI Engineer @ $ 193,000 (United States) - Senior-level / Expert Details
AI Engineer @ $ 180,000 (United States) Details
AI Engineer @ $ 91,139 (United Kingdom) Details
AI Engineer @ $ 83,828 (Canada) Details

Want to contribute?

📝 Submit your salary info

Enter your own salary data for the current or past work year. It's quite simple and doesn't take more than a minute to fill out.

Go to salary survey

📢 Share our salary survey

Share our "in-less-than-a-minute survey" with others working in the field of AI, ML, Data Science. The more data we have the better for everyone.

💾 Download the data

All collected information will be updated into a public dataset regularly and provided as a download free for anyone to use.

Go to download page

🚀 Search for jobs & talent

If you're thinking about a career change or want to hire fresh talent quickly check out the jobs page.

Go to frontpage

About this project

We collect salary information anonymously from professionals and employers all over the world and make it publicly available for anyone to use, share and play around with.

Our goal is to have open salary data for everyone. So newbies, experienced pros, hiring managers, recruiters and also startup founders or people wanting to switch careers can make better decisions.