Artificial Intelligence Engineer Salary in 2024

Salary details

The average Artificial Intelligence Engineer salary lies between USD 74,400 and USD 180,000 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.

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

Last updated: Dec. 15, 2024

Top 20 Job Tags for Artificial Intelligence Engineer roles

The three most common job tag items assiciated with Artificial Intelligence Engineer job listings are Machine Learning, Engineering 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:

Machine Learning | 70 jobs Engineering | 54 jobs Python | 52 jobs Computer Science | 42 jobs ML models | 41 jobs Agile | 32 jobs Research | 30 jobs TensorFlow | 29 jobs PyTorch | 28 jobs MLOps | 27 jobs Azure | 26 jobs NLP | 23 jobs Pipelines | 21 jobs Deep Learning | 20 jobs Testing | 20 jobs Statistics | 20 jobs LLMs | 20 jobs AWS | 18 jobs Scrum | 18 jobs Architecture | 17 jobs

Top 20 Job Perks/Benefits for Artificial Intelligence Engineer roles

The three most common job benefits and perks assiciated with Artificial Intelligence Engineer job listings are Career development, Team events and Competitive pay. 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 | 70 jobs Team events | 28 jobs Competitive pay | 27 jobs Flex hours | 26 jobs Parental leave | 20 jobs Health care | 19 jobs Startup environment | 19 jobs Salary bonus | 17 jobs Medical leave | 12 jobs Insurance | 11 jobs Equity / stock options | 10 jobs Conferences | 9 jobs Flex vacation | 8 jobs Wellness | 8 jobs Flexible spending account | 5 jobs Signing bonus | 3 jobs 401(k) matching | 2 jobs Relocation support | 1 jobs Home office stipend | 1 jobs Unlimited paid time off | 1 jobs

Salary Composition

The salary for an Artificial Intelligence Engineer typically comprises a fixed base salary, performance-based bonuses, and additional remuneration such as stock options or equity, especially in tech companies. 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 bonuses and stock options can also form a substantial part of the total compensation package. In contrast, companies in regions with a lower cost of living might offer a lower base salary but compensate with other benefits. Industries such as finance or healthcare might offer higher bonuses due to the critical nature of AI applications in those fields. Larger companies often provide more comprehensive benefits and bonuses compared to startups, which might offer more equity as part of the compensation.

Increasing Salary

To increase your salary from the position of an Artificial Intelligence Engineer, consider the following steps:

• Specialization: Develop expertise in a niche area of AI, such as natural language processing, computer vision, or reinforcement learning, which can make you more valuable to employers.
• Leadership Roles: Transition into leadership or managerial roles, such as AI team lead or project manager, which typically come with higher pay.
• Continuous Learning: Stay updated with the latest AI technologies and methodologies through courses, workshops, and conferences.
• Networking: Build a strong professional network to learn about higher-paying opportunities and gain insights into industry trends.
• Performance: Consistently deliver high-quality work and exceed performance expectations to negotiate for raises or promotions.

Educational Requirements

Most AI Engineer positions require at least a bachelor's degree in computer science, data science, mathematics, or a related field. However, a master's degree or Ph.D. is often preferred, especially for roles involving complex research and development. Advanced degrees provide a deeper understanding of machine learning algorithms, data analysis, and statistical modeling, which are crucial for high-level AI work.

Helpful Certifications

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
• IBM AI Engineering Professional Certificate

These certifications validate your skills in designing, building, and deploying AI solutions on various platforms.

Required Experience

Typically, employers look for candidates with at least 2-5 years of experience in AI, machine learning, or data science roles. Experience with programming languages such as Python, R, or Java, and familiarity with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn, is often required. Experience in handling large datasets and working with cloud platforms like AWS, Azure, or Google Cloud is also highly valued.

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