AI Solution Architect Salary in United States during 2024

Salary details

The average 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: Nov. 17, 2024

Top 20 Job Tags for AI Solution Architect roles

The three most common job tag items assiciated with AI Solution Architect job listings are Engineering, Architecture 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:

Engineering | 49 jobs Architecture | 48 jobs Machine Learning | 45 jobs AWS | 43 jobs Azure | 40 jobs GCP | 35 jobs Python | 34 jobs Computer Science | 32 jobs LLMs | 30 jobs APIs | 26 jobs Security | 25 jobs Generative AI | 25 jobs Big Data | 24 jobs MLOps | 20 jobs Java | 20 jobs NLP | 19 jobs Kubernetes | 19 jobs PyTorch | 18 jobs TensorFlow | 17 jobs Consulting | 16 jobs

Top 20 Job Perks/Benefits for AI Solution Architect roles

The three most common job benefits and perks assiciated with 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 | 43 jobs Health care | 32 jobs Flex hours | 22 jobs Competitive pay | 20 jobs Team events | 13 jobs Equity / stock options | 11 jobs Salary bonus | 10 jobs Flex vacation | 9 jobs Startup environment | 9 jobs Insurance | 7 jobs Parental leave | 6 jobs 401(k) matching | 3 jobs Conferences | 3 jobs Medical leave | 3 jobs Wellness | 2 jobs Transparency | 2 jobs Flexible spending account | 2 jobs Fertility benefits | 2 jobs Relocation support | 1 jobs

Salary Composition for AI Solution Architect Roles

The salary for an AI Solution Architect in the United States typically comprises several components: a fixed base salary, performance-based bonuses, and additional remuneration such as stock options or profit-sharing. The base salary is often the largest portion, accounting for approximately 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 total salary. Additional remuneration, such as stock options, is more common in tech companies and startups, potentially making up 5-10% of the total package.

Regional differences also play a role; for instance, salaries in tech hubs like San Francisco or New York City tend to be higher due to the cost of living and competitive job markets. Industry-wise, tech companies and financial services often offer higher compensation compared to sectors like healthcare or education. Larger companies may provide more comprehensive benefits and stock options, while smaller companies might offer higher base salaries to attract top talent.

Steps to Increase Salary from an AI Solution Architect Position

To increase your salary beyond the median for an AI Solution Architect, consider the following strategies:

• Specialize in High-Demand Areas: Focus on niche areas within AI/ML, such as natural language processing, computer vision, or AI ethics, which can command higher salaries.
• Pursue Leadership Roles: Transition into managerial or director-level positions, which typically offer higher compensation.
• Expand Your Network: Engage with industry professionals through conferences, workshops, and online platforms to discover new opportunities and negotiate better offers.
• Enhance Your Skills: Continuously update your technical and soft skills, particularly in emerging technologies and project management, to increase your value to employers.
• Consider Relocation: Explore opportunities in regions with higher salary benchmarks for AI professionals.

Educational Requirements for AI Solution Architect Positions

Most AI Solution Architect roles require at least a bachelor's degree in computer science, data science, engineering, or a related field. However, a master's degree or Ph.D. is often preferred, especially for positions involving complex problem-solving and strategic decision-making. Advanced degrees provide a deeper understanding of AI/ML algorithms, data structures, and system architecture, which are crucial for designing effective AI solutions.

Helpful Certifications for AI Solution Architects

While not always mandatory, certain certifications can enhance your credibility and demonstrate your expertise in AI and related fields:

• Certified Artificial Intelligence Practitioner (CAIP)
• AWS Certified Machine Learning – Specialty
• Google Professional Machine Learning Engineer
• Microsoft Certified: Azure AI Engineer Associate
• Data Science Council of America (DASCA) Senior Data Scientist

These certifications validate your skills in designing, implementing, and managing AI solutions, making you a more attractive candidate to potential employers.

Experience Required for AI Solution Architect Roles

Typically, AI Solution Architect positions require 5-10 years of experience in software development, data science, or a related field. This experience should include a strong background in AI/ML technologies, cloud computing, and system architecture. Experience in leading cross-functional teams and managing large-scale projects is also highly valued, as these roles often involve coordinating with various stakeholders to deliver AI solutions.

Related salaries

Want to contribute?