Salary for Senior-level / Expert AI Architect in United States during 2023

Salary details

The average senior-level / expert AI Architect salary lies between USD 204,000 and USD 330,000 in the United States. 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.

Region represents the primary country of residence of an employee during the year (or residence for tax purposes). 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

Salary trend

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

The three most common job tag items assiciated with senior-level / expert AI Architect job listings are Machine Learning, Engineering and Architecture. Below you find a list of the 20 most occuring job tags in 2023 and the number of open jobs that where associated with them during that period:

Machine Learning | 19 jobs Engineering | 18 jobs Architecture | 17 jobs NLP | 14 jobs ML models | 14 jobs Python | 13 jobs AWS | 11 jobs GCP | 11 jobs Classification | 11 jobs Deep Learning | 10 jobs PyTorch | 10 jobs Spark | 10 jobs Azure | 10 jobs MLOps | 10 jobs Computer Science | 10 jobs Big Data | 9 jobs TensorFlow | 9 jobs Security | 9 jobs Testing | 9 jobs Pipelines | 9 jobs

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

The three most common job benefits and perks assiciated with senior-level / expert AI Architect job listings are Career development, Startup environment and Salary bonus. Below you find a list of the 20 most occuring job perks or benefits in 2023 and the number of open jobs that where offering them during that period:

Career development | 10 jobs Startup environment | 6 jobs Salary bonus | 5 jobs Medical leave | 4 jobs Competitive pay | 2 jobs Insurance | 2 jobs Flex hours | 1 jobs Flex vacation | 1 jobs Health care | 1 jobs Flat hierarchy | 1 jobs Team events | 1 jobs Fertility benefits | 1 jobs

Salary Composition

The salary for a Senior-level or Expert AI Architect in the United States typically comprises several components. The fixed base salary is the largest portion, often accounting for 70-80% of the total compensation package. Bonuses, which can be performance-based or tied to company profits, usually make up 10-20% of the salary. Additional remuneration might include stock options, especially in tech companies, and other benefits such as health insurance, retirement plans, and paid time off. The exact composition can vary significantly depending on the region, industry, and company size. For instance, tech hubs like Silicon Valley or New York City might offer higher base salaries and more substantial stock options, while companies in other regions might focus more on bonuses and benefits.

Increasing Salary Further

To increase your salary beyond the median of USD 204,000, consider pursuing leadership roles such as Chief AI Officer or Head of AI. These positions often come with higher compensation packages. Additionally, specializing in high-demand areas like deep learning, natural language processing, or AI ethics can make you more valuable. Networking within industry circles and attending conferences can also open doors to higher-paying opportunities. Another strategy is to work for larger companies or those in industries with higher budgets for AI, such as finance or healthcare.

Educational Requirements

Most Senior-level AI Architect positions require at least a master's degree in a relevant field such as Computer Science, Data Science, or Artificial Intelligence. A Ph.D. can be advantageous, especially for roles that involve research and development. The educational background should include a strong foundation in mathematics, statistics, and computer programming. Courses in machine learning, data mining, and big data technologies are also highly beneficial.

Helpful Certifications

While not always mandatory, certain certifications can enhance your qualifications and make you more competitive. Certifications such as the Certified Artificial Intelligence Practitioner (CAIP), TensorFlow Developer Certificate, or AWS Certified Machine Learning – Specialty can demonstrate your expertise and commitment to the field. These certifications can be particularly useful if you are transitioning from a different area of technology or looking to validate your skills.

Required Experience

Typically, a Senior AI Architect role requires at least 7-10 years of experience in AI, machine learning, or data science. This experience should include hands-on work with AI models, data analysis, and software development. Experience in leading projects, managing teams, and strategic planning is also crucial. A proven track record of successful AI implementations and a deep understanding of AI technologies and trends are essential.

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