Salary for Senior-level / Expert AI Developer during 2024
💰 The median Salary for Senior-level / Expert AI Developer during 2024 is USD 183,050
✏️ This salary info is based on 26 individual salaries reported during 2024
Salary details
The average senior-level / expert AI Developer salary lies between USD 168,000 and USD 252,000 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 Developer
- Experience
- Senior-level / Expert
- Region
- global/worldwide
- Salary year
- 2024
- Sample size
- 26
- Top 10%
-
- Top 25%
-
- Median
-
- Bottom 25%
-
- Bottom 10%
-
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 Senior-level / Expert AI Developer roles
The three most common job tag items assiciated with senior-level / expert AI Developer job listings are Python, Generative AI and Engineering. Below you find a list of the 20 most occuring job tags in 2024 and the number of open jobs that where associated with them during that period:
Python | 128 jobs Generative AI | 91 jobs Engineering | 77 jobs Machine Learning | 72 jobs Computer Science | 60 jobs JavaScript | 57 jobs Azure | 54 jobs AWS | 51 jobs Research | 48 jobs LLMs | 48 jobs NLP | 46 jobs LangChain | 45 jobs Prompt engineering | 43 jobs Testing | 41 jobs Java | 40 jobs GCP | 37 jobs APIs | 37 jobs LLaMA | 37 jobs TypeScript | 35 jobs OpenAI | 35 jobsTop 20 Job Perks/Benefits for Senior-level / Expert AI Developer roles
The three most common job benefits and perks assiciated with senior-level / expert AI Developer job listings are Career development, Flex hours and Health care. Below you find a list of the 20 most occuring job perks or benefits in 2024 and the number of open jobs that where offering them during that period:
Career development | 117 jobs Flex hours | 73 jobs Health care | 28 jobs Team events | 28 jobs Equity / stock options | 21 jobs Startup environment | 21 jobs Salary bonus | 16 jobs Competitive pay | 15 jobs Parental leave | 14 jobs Flex vacation | 14 jobs Medical leave | 11 jobs Insurance | 10 jobs 401(k) matching | 9 jobs Wellness | 8 jobs Conferences | 5 jobs Fitness / gym | 4 jobs Gear | 3 jobs Transparency | 3 jobs Home office stipend | 3 jobs Yoga | 2 jobsSalary Composition
The salary for a Senior-level or Expert AI Developer typically comprises several components: a fixed base salary, performance-based bonuses, and additional remuneration such as stock options or equity. The composition can vary significantly depending on the region, industry, and company size. In tech hubs like Silicon Valley, the base salary might be higher, but companies often offer substantial stock options as part of the compensation package. In contrast, companies in regions with a lower cost of living might offer a smaller base salary but compensate with higher bonuses. Industries such as finance or healthcare may offer higher bonuses due to the critical nature of AI applications in these fields. Larger companies often provide more comprehensive benefits and equity options, while startups might offer more significant equity stakes in lieu of a higher base salary.
Increasing Salary Further
To increase your salary beyond the median of USD 185,000, consider pursuing leadership roles such as AI Team Lead or AI Director, which often come with higher compensation. Specializing in high-demand areas like deep learning, natural language processing, or AI ethics can also make you more valuable. Additionally, contributing to open-source projects, publishing research papers, or speaking at industry conferences can enhance your reputation and lead to higher-paying opportunities. Networking with industry leaders and joining professional organizations can also open doors to lucrative positions.
Educational Requirements
Most senior-level AI developer roles require at least a master's degree in computer science, data science, or a related field. A Ph.D. can be advantageous, especially for roles focused on research and development. These educational programs typically cover essential topics such as machine learning, statistics, data analysis, and programming, providing a strong foundation for a career in AI.
Helpful Certifications
While not always mandatory, certain certifications can bolster your credentials and demonstrate expertise. Certifications from reputable organizations like the Certified Artificial Intelligence Practitioner (CAIP) or the TensorFlow Developer Certificate can be beneficial. Additionally, completing specialized courses from platforms like Coursera, edX, or Udacity in machine learning, deep learning, or data science can also enhance your skill set and marketability.
Required Experience
Typically, a senior-level AI developer is expected to have at least 5-10 years of experience in the field. This experience should include hands-on work with machine learning models, data analysis, and software development. Experience in leading projects, mentoring junior developers, and collaborating with cross-functional teams is also highly valued. A proven track record of successful AI implementations and a portfolio showcasing your work can significantly strengthen your application.
Related salaries
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 frontpageAbout 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.