Salary for Mid-level / Intermediate Solutions Architect in United States during 2024

Salary details

The average mid-level / intermediate Solutions Architect salary lies between USD 79,600 and USD 126,200 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 Mid-level / Intermediate Solutions Architect roles

The three most common job tag items assiciated with mid-level / intermediate Solutions Architect job listings are Python, AWS 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:

Python | 13 jobs AWS | 13 jobs Machine Learning | 11 jobs Java | 11 jobs Big Data | 10 jobs Engineering | 10 jobs Security | 10 jobs Architecture | 10 jobs Computer Science | 10 jobs Ruby | 8 jobs Linux | 8 jobs NoSQL | 8 jobs Node.js | 8 jobs DevOps | 6 jobs ML models | 3 jobs R | 2 jobs Spark | 2 jobs Research | 2 jobs Consulting | 2 jobs GCP | 2 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate Solutions Architect roles

The three most common job benefits and perks assiciated with mid-level / intermediate Solutions Architect job listings are Career development, Flex hours and Team events. 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 | 13 jobs Flex hours | 9 jobs Team events | 7 jobs Equity / stock options | 4 jobs Startup environment | 4 jobs Conferences | 4 jobs 401(k) matching | 2 jobs Parental leave | 2 jobs Flex vacation | 2 jobs Health care | 2 jobs Salary bonus | 2 jobs Wellness | 1 jobs Fitness / gym | 1 jobs Competitive pay | 1 jobs Yoga | 1 jobs Medical leave | 1 jobs

Salary Composition

The salary for a Mid-level/Intermediate Solutions Architect in AI/ML/Data Science typically comprises a base salary, bonuses, and additional remuneration such as stock options or benefits. The base salary is the fixed component and usually forms the largest part of the total compensation package. Bonuses can vary significantly depending on the company's performance, individual performance, and industry standards. In tech hubs like Silicon Valley, bonuses and stock options might be more substantial compared to other regions. Larger companies often offer more comprehensive benefits packages, including health insurance, retirement plans, and sometimes even tuition reimbursement for further education. In contrast, smaller companies or startups might offer equity or stock options as a significant part of the compensation to attract talent.

Increasing Salary

To increase your salary from this position, consider pursuing advanced certifications or further education, such as a master's degree in a related field. Gaining expertise in emerging technologies or specialized areas within AI/ML can make you more valuable. Networking within the industry and attending relevant conferences can also open up opportunities for higher-paying roles. Additionally, taking on leadership roles or projects that demonstrate your ability to drive business value can position you for promotions or salary negotiations. Exploring opportunities in high-demand regions or industries, such as finance or healthcare, where AI/ML skills are highly valued, can also lead to higher compensation.

Educational Requirements

Most positions for a Mid-level/Intermediate Solutions Architect in AI/ML/Data Science require at least a bachelor's degree in computer science, data science, engineering, or a related field. However, many employers prefer candidates with a master's degree, especially in more competitive markets. A strong foundation in mathematics, statistics, and programming is essential. Courses in machine learning, data analysis, and software architecture are particularly beneficial. Continuous learning through online courses or workshops can also help keep your skills up-to-date with the latest industry trends.

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 Professional (CDP)
• TensorFlow Developer Certificate

These certifications can validate your skills in cloud architecture, data management, and machine learning, making you a more attractive candidate for higher-level positions.

Required Experience

Typically, a Mid-level/Intermediate Solutions Architect role requires 3-5 years of experience in related fields such as software development, data engineering, or systems architecture. Experience with AI/ML projects, cloud platforms, and data analytics is highly desirable. Demonstrated experience in designing and implementing scalable solutions, as well as a strong understanding of business processes and requirements, is crucial. Experience in leading cross-functional teams or projects can also be beneficial.

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