Solutions Architect Salary in 2024

Salary details

The average Solutions Architect salary lies between USD 139,900 and USD 247,300 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: Jan. 12, 2025

Top 20 Job Tags for Solutions Architect roles

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

Engineering | 572 jobs Architecture | 550 jobs Python | 535 jobs Machine Learning | 439 jobs Computer Science | 392 jobs AWS | 374 jobs Azure | 274 jobs Spark | 262 jobs GCP | 262 jobs Java | 243 jobs Security | 242 jobs Databricks | 228 jobs Big Data | 222 jobs Generative AI | 219 jobs Research | 200 jobs Excel | 192 jobs Consulting | 184 jobs Scala | 183 jobs SQL | 179 jobs MLFlow | 179 jobs

Top 20 Job Perks/Benefits for Solutions Architect roles

The three most common job benefits and perks assiciated with Solutions Architect job listings are Career development, Equity / stock options and Health care. 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 | 571 jobs Equity / stock options | 267 jobs Health care | 251 jobs Flex hours | 189 jobs Flex vacation | 163 jobs Salary bonus | 162 jobs Competitive pay | 141 jobs Team events | 136 jobs Insurance | 132 jobs Parental leave | 131 jobs Medical leave | 129 jobs Startup environment | 116 jobs Wellness | 108 jobs Conferences | 99 jobs 401(k) matching | 59 jobs Fitness / gym | 50 jobs Transparency | 41 jobs Fertility benefits | 20 jobs Home office stipend | 19 jobs Unlimited paid time off | 11 jobs

Salary Composition

The salary for a Solutions Architect in AI/ML/Data Science typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or profit-sharing. The base salary is often the largest component, making up about 70-80% of the total compensation package. Performance bonuses can range from 10-20%, depending on the company's success and individual performance. 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 are generally higher than in other regions. Industry and company size can further influence these figures, with larger tech firms often offering more competitive packages.

Increasing Salary

To increase your salary from the Solutions Architect position, consider pursuing leadership roles such as Senior Solutions Architect or Director of Solutions Architecture. These roles often come with higher compensation and greater responsibilities. Additionally, specializing in a niche area of AI/ML, such as natural language processing or computer vision, can make you more valuable. Networking within the industry and building a strong personal brand through speaking engagements or publications can also open doors to higher-paying opportunities. Finally, continuous learning and staying updated with the latest technologies and trends can position you as an expert, justifying a higher salary.

Educational Requirements

Most Solutions Architect roles in AI/ML/Data Science require at least a bachelor's degree in computer science, engineering, mathematics, or a related field. However, a master's degree or Ph.D. can be advantageous, especially for roles that require deep technical expertise. Advanced degrees often provide a competitive edge and can lead to higher starting salaries. Additionally, coursework in machine learning, data analysis, and software engineering is highly beneficial.

Helpful Certifications

Certifications can enhance your qualifications and demonstrate your expertise to potential employers. Some valuable certifications include:

• AWS Certified Solutions Architect
• Google Professional Cloud Architect
• Microsoft Certified: Azure Solutions Architect Expert
• Certified Data Professional (CDP)
• TensorFlow Developer Certificate

These certifications validate your skills in cloud architecture and data science, which are crucial for a Solutions Architect role in AI/ML.

Required Experience

Typically, a Solutions Architect in AI/ML/Data Science is expected to have 5-10 years of experience in related fields. This experience should include hands-on work with machine learning models, data analysis, and software development. Experience in designing and implementing scalable solutions, as well as a strong understanding of cloud platforms, is also essential. Leadership experience, such as managing teams or projects, can be a significant advantage.

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