Salary for Senior-level / Expert Solutions Architect during 2024

Salary details

The average senior-level / expert Solutions Architect salary lies between USD 139,900 and USD 247,300 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 Solutions Architect roles

The three most common job tag items assiciated with senior-level / expert 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 | 553 jobs Architecture | 535 jobs Python | 512 jobs Machine Learning | 422 jobs Computer Science | 374 jobs AWS | 358 jobs Azure | 268 jobs Spark | 259 jobs GCP | 253 jobs Security | 234 jobs Java | 229 jobs Databricks | 227 jobs Generative AI | 212 jobs Big Data | 211 jobs Research | 197 jobs Excel | 190 jobs Scala | 180 jobs SQL | 179 jobs Consulting | 178 jobs MLFlow | 177 jobs

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

The three most common job benefits and perks assiciated with senior-level / expert 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 | 550 jobs Equity / stock options | 261 jobs Health care | 250 jobs Flex hours | 179 jobs Flex vacation | 159 jobs Salary bonus | 159 jobs Competitive pay | 143 jobs Insurance | 131 jobs Parental leave | 128 jobs Medical leave | 127 jobs Team events | 126 jobs Wellness | 111 jobs Startup environment | 109 jobs Conferences | 93 jobs 401(k) matching | 57 jobs Fitness / gym | 49 jobs Transparency | 41 jobs Home office stipend | 19 jobs Fertility benefits | 19 jobs Unlimited paid time off | 11 jobs

Salary Composition

The salary for a Senior-level/Expert 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 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 tech companies and startups, potentially adding another 5-15% to the total compensation.

Regional differences also play a significant role. For instance, salaries in tech hubs like San Francisco or New York are generally higher due to the cost of living and demand for talent. Industry-wise, tech companies and financial services tend to offer higher compensation packages compared to other sectors. Larger companies might offer more comprehensive benefits and stock options, while smaller companies or startups might provide higher equity stakes.

Increasing Salary Further

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

• Specialization: Develop expertise in a niche area of AI/ML that is in high demand, such as natural language processing or computer vision.
• Leadership Roles: Transition into leadership or managerial roles, such as a Chief AI Officer or Head of Data Science, which typically offer higher compensation.
• Consulting: Leverage your expertise to offer consulting services, either independently or through a firm, which can significantly increase your earning potential.
• Continuous Learning: Stay updated with the latest technologies and methodologies in AI/ML to remain competitive and justify salary increases.

Educational Requirements

Most Senior-level/Expert 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 Ph.D. is often preferred, especially for roles that involve complex problem-solving and advanced technical skills. Advanced degrees can also provide a competitive edge and potentially lead to higher salary offers.

Helpful Certifications

While not always mandatory, certain certifications can enhance your qualifications and demonstrate your expertise to potential employers. Some valuable certifications include:

• AWS Certified Solutions Architect: Demonstrates proficiency in designing and deploying scalable systems on AWS.
• Google Professional Cloud Architect: Validates your ability to design and manage secure, scalable cloud architectures.
• Certified Data Professional (CDP): Offers a broad understanding of data management and analytics.
• TensorFlow Developer Certificate: Showcases your ability to build and deploy machine learning models using TensorFlow.

Required Experience

Typically, a Senior-level/Expert Solutions Architect in AI/ML/Data Science is expected to have at least 8-10 years of experience in the field. This experience should include a strong background in software development, data analysis, and machine learning. Experience in leading projects, managing teams, and working with cross-functional stakeholders is also highly valued. Additionally, hands-on experience with cloud platforms, big data technologies, and AI/ML frameworks is often required.

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