Salary for Senior-level / Expert AI Solution Architect in United States during 2024

Salary details

The average senior-level / expert AI Solution Architect salary lies between USD 144,650 and USD 209,600 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

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

The three most common job tag items assiciated with senior-level / expert AI Solution Architect job listings are Architecture, Engineering and Machine Learning. 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:

Architecture | 56 jobs Engineering | 55 jobs Machine Learning | 54 jobs AWS | 48 jobs Azure | 48 jobs GCP | 41 jobs Python | 39 jobs Computer Science | 39 jobs LLMs | 32 jobs Security | 31 jobs APIs | 31 jobs Generative AI | 31 jobs Big Data | 28 jobs MLOps | 24 jobs Java | 23 jobs NLP | 22 jobs Kubernetes | 22 jobs Consulting | 21 jobs PyTorch | 20 jobs TensorFlow | 19 jobs

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

The three most common job benefits and perks assiciated with senior-level / expert AI Solution Architect 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 | 53 jobs Health care | 38 jobs Flex hours | 26 jobs Competitive pay | 24 jobs Team events | 14 jobs Equity / stock options | 13 jobs Salary bonus | 13 jobs Startup environment | 12 jobs Flex vacation | 11 jobs Insurance | 9 jobs Parental leave | 7 jobs Conferences | 5 jobs Medical leave | 5 jobs 401(k) matching | 4 jobs Wellness | 3 jobs Fertility benefits | 3 jobs Transparency | 2 jobs Flexible spending account | 2 jobs Lunch / meals | 1 jobs Relocation support | 1 jobs

Salary Composition

The salary for a Senior-level or Expert AI Solution 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 total salary. Additional remuneration may include stock options, especially in tech companies, and other benefits such as health insurance, retirement contributions, 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 may offer higher base salaries and stock options, while smaller companies might provide more substantial bonuses to attract top talent.

Increasing Salary Further

To increase your salary beyond the median for this role, consider pursuing leadership positions or roles with greater responsibility, such as Chief AI Officer or Head of AI Strategy. Specializing in high-demand areas like deep learning, natural language processing, or AI ethics can also make you more valuable. Networking within industry circles and attending conferences can open up opportunities for higher-paying roles. Additionally, contributing to open-source projects or publishing research can enhance your reputation and lead to lucrative consulting opportunities.

Educational Requirements

Most Senior AI Solution 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 or developing cutting-edge AI technologies. Strong foundational knowledge in mathematics, statistics, and computer programming is essential, and coursework in machine learning, data mining, and big data technologies is highly beneficial.

Helpful Certifications

While not always mandatory, certain certifications can bolster your credentials and demonstrate expertise. Certifications such as the Certified Artificial Intelligence Practitioner (CAIP), AWS Certified Machine Learning – Specialty, or Google Professional Machine Learning Engineer are well-regarded in the industry. These certifications validate your skills in designing, implementing, and managing AI solutions, which can be particularly appealing to employers.

Required Experience

Typically, a Senior AI Solution Architect role requires at least 7-10 years of experience in the field of AI, machine learning, or data science. This experience should include hands-on work with AI technologies, leading projects, and developing AI strategies. Experience in a specific industry, such as healthcare, finance, or retail, can also be advantageous, as it provides domain-specific insights that are valuable when designing AI solutions.

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