Salary for Senior-level / Expert Artificial Intelligence Engineer during 2024

Salary details

The average senior-level / expert Artificial Intelligence Engineer salary lies between USD 36,000 and USD 200,500 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.

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

Last updated: Dec. 22, 2024

Top 20 Job Tags for Senior-level / Expert Artificial Intelligence Engineer roles

The three most common job tag items assiciated with senior-level / expert Artificial Intelligence Engineer job listings are Engineering, Machine Learning and Python. 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:

Engineering | 30 jobs Machine Learning | 26 jobs Python | 23 jobs Computer Science | 16 jobs Research | 14 jobs PyTorch | 12 jobs LLMs | 10 jobs R | 9 jobs AWS | 9 jobs Git | 9 jobs TensorFlow | 8 jobs Architecture | 8 jobs Azure | 8 jobs MLOps | 8 jobs Agile | 8 jobs Computer Vision | 7 jobs PhD | 7 jobs Reinforcement Learning | 7 jobs NLP | 6 jobs Scikit-learn | 6 jobs

Top 20 Job Perks/Benefits for Senior-level / Expert Artificial Intelligence Engineer roles

The three most common job benefits and perks assiciated with senior-level / expert Artificial Intelligence Engineer job listings are Career development, Flex hours and Startup environment. 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 | 29 jobs Flex hours | 14 jobs Startup environment | 12 jobs Competitive pay | 12 jobs Medical leave | 8 jobs Salary bonus | 8 jobs Equity / stock options | 7 jobs Health care | 7 jobs Team events | 7 jobs Flex vacation | 6 jobs Parental leave | 5 jobs Wellness | 5 jobs Signing bonus | 3 jobs Insurance | 3 jobs Flexible spending account | 3 jobs Conferences | 1 jobs Relocation support | 1 jobs Unlimited paid time off | 1 jobs Fertility benefits | 1 jobs

Salary Composition

The salary for a Senior-level or Expert Artificial Intelligence Engineer typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or equity, especially in tech companies. The base salary is the fixed component and usually constitutes the majority of the total compensation package. Performance bonuses can vary significantly depending on the company's success and individual performance, often ranging from 10% to 20% of the base salary. Additional remuneration, such as stock options, is more common in larger tech companies or startups and can be a significant part of the total compensation, especially in regions like Silicon Valley. In contrast, companies in other regions or industries might offer less in terms of equity but compensate with higher base salaries or bonuses.

Increasing Salary

To increase your salary further from this position, consider the following strategies:

• Specialization: Develop expertise in a niche area of AI/ML, such as natural language processing, computer vision, or reinforcement learning, which can make you more valuable.
• Leadership Roles: Transition into leadership or managerial roles, such as AI team lead or head of AI, which typically come with higher compensation.
• Consulting: Offer your expertise as a consultant, which can command higher hourly rates and provide additional income streams.
• Continuous Learning: Stay updated with the latest AI trends and technologies through courses, workshops, and conferences, which can enhance your skill set and marketability.

Educational Requirements

Most senior-level AI/ML positions require at least a master's degree in a relevant field such as computer science, data science, or electrical engineering. A Ph.D. is often preferred, especially for roles that involve research and development of new AI technologies. These advanced degrees provide a strong foundation in the theoretical and practical aspects of AI and machine learning.

Helpful Certificates

While not always mandatory, certain certifications can enhance your credentials and demonstrate your expertise to potential employers. Some valuable certifications include:

• Google Professional Machine Learning Engineer
• AWS Certified Machine Learning – Specialty
• Microsoft Certified: Azure AI Engineer Associate
• TensorFlow Developer Certificate

These certifications validate your skills in specific platforms and tools, which can be advantageous in a competitive job market.

Required Experience

Typically, a senior-level AI/ML engineer 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 or teams is also highly valued, as it demonstrates your ability to manage complex AI initiatives and collaborate effectively with cross-functional teams.

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