Salary for Senior-level / Expert Solution Architect during 2024

Salary details

The average senior-level / expert Solution Architect salary lies between USD 138,200 and USD 220,900 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 Senior-level / Expert Solution Architect roles

The three most common job tag items assiciated with senior-level / expert Solution Architect job listings are Architecture, Machine Learning and Engineering. 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:

Architecture | 388 jobs Machine Learning | 340 jobs Engineering | 334 jobs Python | 329 jobs Azure | 286 jobs Computer Science | 269 jobs AWS | 256 jobs Security | 239 jobs SQL | 170 jobs GCP | 159 jobs Consulting | 151 jobs Generative AI | 130 jobs Agile | 128 jobs Java | 127 jobs Pipelines | 124 jobs APIs | 124 jobs Big Data | 115 jobs LLMs | 113 jobs Kubernetes | 104 jobs DevOps | 104 jobs

Top 20 Job Perks/Benefits for Senior-level / Expert Solution Architect roles

The three most common job benefits and perks assiciated with senior-level / expert 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 | 349 jobs Health care | 192 jobs Flex hours | 135 jobs Team events | 94 jobs Competitive pay | 92 jobs Medical leave | 92 jobs Equity / stock options | 74 jobs Startup environment | 69 jobs Salary bonus | 50 jobs Parental leave | 47 jobs Insurance | 46 jobs Conferences | 40 jobs Flex vacation | 37 jobs Wellness | 32 jobs 401(k) matching | 25 jobs Transparency | 21 jobs Home office stipend | 14 jobs Flexible spending account | 11 jobs Unlimited paid time off | 9 jobs Travel | 6 jobs

Salary Composition

The salary for a Senior-level/Expert Solution Architect in AI/ML/Data Science typically comprises a fixed base salary, performance-based bonuses, and additional remuneration such as stock options or equity, especially in tech companies. The composition can vary significantly depending on the region, industry, and company size. In tech hubs like Silicon Valley, the base salary might be higher, but bonuses and stock options can also form a substantial part of the total compensation package. In contrast, in regions with a lower cost of living, the base salary might be lower, but the overall package could still be competitive due to other benefits. In larger companies, bonuses might be tied to company performance, while smaller startups might offer more equity to compensate for a lower base salary.

Increasing Salary

To increase your salary further from this position, consider the following strategies:

• Specialization: Develop expertise in a niche area of AI/ML that is in high demand but has a limited supply of experts.
• Leadership Roles: Transition into leadership roles such as Chief AI Officer or Head of Data Science, which typically offer higher compensation.
• Consulting: Offer your expertise as a consultant, which can command higher hourly rates and provide additional income streams.
• Continuous Learning: Stay updated with the latest technologies and methodologies in AI/ML to remain competitive and justify salary increases.
• Networking: Build a strong professional network to learn about higher-paying opportunities and negotiate better offers.

Educational Requirements

Most Senior-level/Expert Solution Architect roles 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 Ph.D. is often preferred, especially for roles that involve complex problem-solving and advanced research. These advanced degrees provide a deeper understanding of algorithms, data structures, and statistical methods, which are crucial for designing effective AI/ML solutions.

Helpful Certifications

While not always mandatory, certain certifications can enhance your credibility and demonstrate your commitment to the field. Some valuable certifications include:

• Certified Solutions Architect (AWS, Google Cloud, or Azure): Validates your ability to design and deploy scalable systems on cloud platforms.
• Certified Data Scientist (DASCA, SAS): Demonstrates proficiency in data analysis and machine learning techniques.
• TensorFlow Developer Certificate: Shows expertise in using TensorFlow for building AI/ML models.
• Professional Machine Learning Engineer (Google Cloud): Validates your ability to design, build, and productionize ML models.

Required Experience

Typically, a Senior-level/Expert Solution Architect role requires at least 8-10 years of experience in software development, data science, or a related field. This experience should include a strong track record of designing and implementing AI/ML solutions, as well as experience in leading projects and teams. Experience in specific industries, such as finance, healthcare, or e-commerce, can also be beneficial, as it provides domain-specific insights that are valuable in designing tailored solutions.

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