Salary for Senior-level / Expert Solution Architect during 2024
💰 The median Salary for Senior-level / Expert Solution Architect during 2024 is USD 173,500
✏️ This salary info is based on 66 individual salaries reported during 2024
Salary details
The average senior-level / expert Solution Architect salary lies between USD 130,000 and USD 217,200 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.
- Job title
- Solution Architect
- Experience
- Senior-level / Expert
- Region
- global/worldwide
- Salary year
- 2024
- Sample size
- 66
- Top 10%
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- Top 25%
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- Median
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- Bottom 25%
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All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.
Last updated: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 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:
Architecture | 322 jobs Machine Learning | 282 jobs Python | 274 jobs Engineering | 273 jobs Azure | 240 jobs AWS | 226 jobs Computer Science | 218 jobs Security | 198 jobs SQL | 149 jobs GCP | 133 jobs Consulting | 115 jobs Agile | 111 jobs Java | 109 jobs APIs | 105 jobs Generative AI | 102 jobs Big Data | 101 jobs Pipelines | 98 jobs Research | 92 jobs LLMs | 89 jobs DevOps | 87 jobsTop 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 | 287 jobs Health care | 160 jobs Flex hours | 112 jobs Medical leave | 78 jobs Team events | 75 jobs Competitive pay | 69 jobs Equity / stock options | 62 jobs Startup environment | 57 jobs Salary bonus | 41 jobs Parental leave | 39 jobs Insurance | 37 jobs Conferences | 34 jobs Wellness | 30 jobs Flex vacation | 29 jobs 401(k) matching | 21 jobs Home office stipend | 13 jobs Transparency | 9 jobs Unlimited paid time off | 8 jobs Flexible spending account | 7 jobs Travel | 6 jobsSalary 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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