Salary for Senior-level / Expert AI Lead during 2024

Salary details

The average senior-level / expert AI Lead salary lies between USD 110,000 and USD 236,220 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: Nov. 24, 2024

Top 20 Job Tags for Senior-level / Expert AI Lead roles

The three most common job tag items assiciated with senior-level / expert AI Lead job listings are Engineering, Machine Learning and Computer Science. 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 | 62 jobs Machine Learning | 61 jobs Computer Science | 54 jobs Python | 41 jobs Generative AI | 39 jobs Research | 31 jobs Security | 31 jobs Deep Learning | 30 jobs Consulting | 30 jobs Azure | 27 jobs GCP | 24 jobs Agile | 23 jobs NLP | 22 jobs AWS | 22 jobs PyTorch | 21 jobs Finance | 19 jobs R | 18 jobs TensorFlow | 18 jobs SQL | 17 jobs Architecture | 17 jobs

Top 20 Job Perks/Benefits for Senior-level / Expert AI Lead roles

The three most common job benefits and perks assiciated with senior-level / expert AI Lead job listings are Career development, Health care and Flex hours. 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 | 74 jobs Health care | 32 jobs Flex hours | 22 jobs Startup environment | 19 jobs Equity / stock options | 18 jobs Competitive pay | 18 jobs Team events | 18 jobs Salary bonus | 18 jobs Medical leave | 12 jobs Insurance | 11 jobs Parental leave | 9 jobs Wellness | 8 jobs Flex vacation | 6 jobs Conferences | 6 jobs Transparency | 4 jobs Relocation support | 4 jobs 401(k) matching | 3 jobs Lunch / meals | 2 jobs Fitness / gym | 2 jobs Fertility benefits | 2 jobs

Salary Composition

The salary for a Senior-level or Expert AI Lead typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or equity, especially in tech companies. The base salary is often the largest component, accounting for 70-80% of the total compensation package. Bonuses can vary significantly depending on the company's performance and individual achievements, usually ranging from 10-20% of the base salary. Additional remuneration, such as stock options, can be a significant part of the package in startups or large tech firms, potentially making up 10-30% of the total compensation. The composition can vary by region, with tech hubs like Silicon Valley offering higher equity components, while regions with a lower cost of living might offer more in base salary. Industry also plays a role; for instance, finance and healthcare sectors might offer higher bonuses compared to academia or non-profits. Company size can influence the package, with larger companies often providing more comprehensive benefits and smaller companies offering more equity.

Increasing Salary

To increase your salary from a Senior-level AI Lead position, consider the following strategies:

• Specialization: Develop expertise in a niche area of AI/ML that is in high demand, such as natural language processing, computer vision, or AI ethics.
• Leadership Skills: Enhance your leadership and management skills to take on more responsibilities, potentially moving into a Director or VP role.
• Networking: Build a strong professional network to open up opportunities for higher-paying positions or consulting roles.
• Continuous Learning: Stay updated with the latest AI trends and technologies through courses, workshops, and conferences.
• Negotiation: Improve your negotiation skills to better advocate for higher compensation during performance reviews or when switching jobs.

Educational Requirements

Most Senior-level AI Lead positions require at least a master's degree in a relevant field such as Computer Science, Data Science, or Artificial Intelligence. A Ph.D. is often preferred, especially for roles that involve research and development. Candidates with a strong academic background in mathematics, statistics, or engineering are also highly regarded. Additionally, a solid understanding of business and management principles can be beneficial for those looking to lead teams and projects.

Helpful Certificates

While not always mandatory, certain certifications can enhance your profile and demonstrate your commitment to the field. Some valuable certifications include:

• Certified Artificial Intelligence Practitioner (CAIP)
• TensorFlow Developer Certificate
• AWS Certified Machine Learning – Specialty
• Microsoft Certified: Azure AI Engineer Associate
• Data Science Professional Certificate (offered by platforms like Coursera or edX)

These certifications can provide a competitive edge by validating your skills and knowledge in specific AI/ML tools and platforms.

Required Experience

Typically, a Senior-level AI Lead position requires at least 7-10 years of experience in AI, machine learning, or data science roles. This experience should include a proven track record of leading projects, managing teams, and delivering successful AI solutions. Experience in a specific industry, such as finance, healthcare, or technology, can also be advantageous. Additionally, hands-on experience with popular AI/ML frameworks and tools, such as TensorFlow, PyTorch, or scikit-learn, is often expected.

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