Solutions Architect Salary in United States during 2024

Salary details

The average Solutions Architect salary lies between USD 139,900 and USD 247,300 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. 15, 2024

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 | 568 jobs Architecture | 547 jobs Python | 530 jobs Machine Learning | 437 jobs Computer Science | 388 jobs AWS | 374 jobs Azure | 270 jobs Spark | 261 jobs GCP | 255 jobs Security | 247 jobs Java | 243 jobs Databricks | 229 jobs Big Data | 222 jobs Generative AI | 214 jobs Research | 200 jobs Excel | 190 jobs Scala | 181 jobs Consulting | 181 jobs SQL | 179 jobs MLFlow | 177 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 | 568 jobs Equity / stock options | 265 jobs Health care | 253 jobs Flex hours | 189 jobs Flex vacation | 162 jobs Salary bonus | 161 jobs Competitive pay | 144 jobs Team events | 134 jobs Insurance | 131 jobs Parental leave | 130 jobs Medical leave | 128 jobs Startup environment | 114 jobs Wellness | 113 jobs Conferences | 98 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 for AI/ML/Data Science Solutions Architect

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, accounting for approximately 70-80% of the total compensation package. Performance bonuses can vary significantly, ranging from 10-20% of the base salary, depending on individual and company performance. Additional remuneration, such as stock options, is more common in larger tech companies or startups and can constitute 5-10% of the total package. Regional differences also play a role; for instance, salaries in tech hubs like Silicon Valley or New York City tend to be higher due to the cost of living and competitive job market. Industry-specific factors can also influence salary composition, with finance and healthcare sectors often offering higher bonuses.

Steps to Increase Salary from This Position

To increase your salary beyond the median level, consider pursuing advanced leadership roles or specializing in high-demand areas within AI/ML. Transitioning to a Senior Solutions Architect or a Principal Architect position can lead to higher compensation. Additionally, gaining expertise in emerging technologies such as AI ethics, quantum computing, or edge AI can make you more valuable. Networking within industry circles and attending conferences can also open up opportunities for higher-paying roles. Another strategy is to seek roles in larger organizations or those with a global presence, as they often offer more competitive compensation packages.

Educational Requirements for AI/ML/Data Science Solutions Architect

Most Solutions Architect positions in AI/ML/Data Science require at least a bachelor's degree in computer science, data science, engineering, or a related field. However, a master's degree or even a Ph.D. can be advantageous, especially for roles that involve complex problem-solving and strategic decision-making. Advanced degrees can also provide a deeper understanding of machine learning algorithms, data structures, and system architecture, which are crucial for this role.

Helpful Certifications

Certifications can enhance your credentials 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 Management Professional (CDMP)
• TensorFlow Developer Certificate

These certifications not only validate your technical skills but also show your commitment to staying updated with the latest technologies and best practices.

Experience Requirements

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 system architecture. Experience in leading projects, managing cross-functional teams, and working with cloud platforms is also highly valued. Prior roles in software development, data engineering, or IT consulting can provide a solid foundation for this position.

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