Salary for Mid-level / Intermediate Solutions Architect during 2024

Salary details

The average mid-level / intermediate Solutions Architect salary lies between USD 79,600 and USD 126,200 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: 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, performance 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. Performance bonuses can vary significantly depending on the company's success and individual performance, often ranging from 10% to 20% of the base salary. Additional remuneration might include stock options, especially in tech companies or startups, and benefits like health insurance, retirement plans, and paid time off. The composition can vary by region, with tech hubs like Silicon Valley offering higher base salaries and stock options, while other regions might offer more balanced packages. Industry and company size also play a role; larger companies might offer more comprehensive benefits, while startups might compensate with equity.

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 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 can also lead to higher compensation.

Educational Requirements

Most mid-level 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 even a Ph.D. can be advantageous, especially for roles that require deep technical expertise or research capabilities. Continuous learning through online courses or workshops is also common to keep up with the rapidly evolving field.

Helpful Certifications

Certifications can enhance your credentials and demonstrate your expertise. 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 more competitive in the job market.

Required Experience

Typically, a mid-level solutions architect in AI/ML/Data Science is expected to have 3-7 years of relevant experience. This experience should include hands-on work with AI/ML technologies, data analysis, and software development. Experience in designing and implementing solutions, as well as collaborating with cross-functional teams, is also crucial. Prior experience in a similar role or industry can be beneficial.

Related salaries

Want to contribute?