Solution Architect Salary in United States during 2024

Salary details

The average Solution Architect salary lies between USD 138,200 and USD 217,200 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: Nov. 17, 2024

Top 20 Job Tags for Solution Architect roles

The three most common job tag items assiciated with 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 | 336 jobs Machine Learning | 295 jobs Python | 289 jobs Engineering | 286 jobs Azure | 250 jobs AWS | 234 jobs Computer Science | 231 jobs Security | 204 jobs SQL | 152 jobs GCP | 138 jobs Consulting | 125 jobs Agile | 116 jobs Java | 115 jobs APIs | 109 jobs Pipelines | 106 jobs Generative AI | 106 jobs Big Data | 105 jobs LLMs | 96 jobs Research | 95 jobs DevOps | 92 jobs

Top 20 Job Perks/Benefits for Solution Architect roles

The three most common job benefits and perks assiciated with 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 | 299 jobs Health care | 166 jobs Flex hours | 118 jobs Team events | 79 jobs Medical leave | 78 jobs Competitive pay | 75 jobs Equity / stock options | 65 jobs Startup environment | 60 jobs Salary bonus | 43 jobs Parental leave | 40 jobs Insurance | 39 jobs Conferences | 35 jobs Wellness | 32 jobs Flex vacation | 30 jobs 401(k) matching | 21 jobs Transparency | 13 jobs Home office stipend | 13 jobs Unlimited paid time off | 8 jobs Flexible spending account | 7 jobs Travel | 6 jobs

Salary Composition

In the United States, the salary composition for a Solution Architect specializing in AI/ML/Data Science typically includes a base salary, performance bonuses, and additional remuneration such as stock options or profit-sharing. The base salary often constitutes the majority of the total compensation package, ranging from 70% to 85%. Performance bonuses can vary significantly depending on the company and industry, often comprising 10% to 20% of the total salary. Additional remuneration, such as stock options, is more common in tech companies and startups, potentially making up 5% to 10% of the total compensation. Regional differences also play a role; for instance, salaries in tech hubs like San Francisco or New York City tend to be higher due to the cost of living and competitive job market. Similarly, larger companies may offer more comprehensive compensation packages compared to smaller firms.

Increasing Salary

To increase your salary further from the position of a Solution Architect, consider the following strategies:

• Specialization: Develop expertise in a niche area within AI/ML, such as natural language processing or computer vision, which can make you more valuable to employers.
• Leadership Roles: Transition into leadership or managerial roles, such as a Chief Architect or Director of AI/ML, which typically come with higher compensation.
• Continuous Learning: Stay updated with the latest technologies and methodologies in AI/ML. Attending workshops, conferences, and pursuing advanced certifications can enhance your skill set.
• Networking: Build a strong professional network to learn about higher-paying opportunities and gain insights into industry trends.
• Negotiation Skills: Improve your negotiation skills to better advocate for salary increases during performance reviews or when switching jobs.

Educational Requirements

Most 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 positions involving complex problem-solving and advanced technical skills. These advanced degrees provide a deeper understanding of machine learning algorithms, data analysis, and system architecture, which are crucial for the role.

Helpful Certifications

Several certifications can enhance your qualifications as a Solution Architect in AI/ML/Data Science:

• AWS Certified Machine Learning – Specialty: Validates expertise in building, training, tuning, and deploying machine learning models on AWS.
• Google Professional Machine Learning Engineer: Demonstrates proficiency in designing, building, and productionizing ML models using Google Cloud technologies.
• Microsoft Certified: Azure AI Engineer Associate: Focuses on using Azure AI services to build and integrate AI solutions.
• Certified Data Professional (CDP): Offers a broad understanding of data management and analytics, which is beneficial for architects working with data-driven solutions.

Experience Requirements

Typically, a Solution Architect in AI/ML/Data Science is expected to have 5 to 10 years of experience in related fields. This experience should include hands-on work with machine learning models, data analysis, and system architecture. Experience in software development, cloud computing, and project management is also highly valued. Additionally, experience in leading cross-functional teams and managing complex projects can be advantageous.

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