Solutions Architect Visa Sponsorship Jobs in Utah
Solutions architect visa sponsorship jobs in Utah are concentrated in the Salt Lake City metro, where companies like Adobe, Qualtrics, Instructure, and Amazon Web Services maintain significant engineering presence. Lehi's Silicon Slopes corridor is the state's primary tech hiring hub, with healthcare IT and cloud infrastructure driving consistent demand for solutions architects.
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Get Access To All JobsINTRODUCTION
Opportunity to join the industries top AI Consulting firm, building out both traditional machine learning and cutting-edge generative AI projects of the future!
ABOUT THE ROLE
We are seeking a dynamic and innovative Machine Learning Solution Architect to join our team. This role is a unique opportunity to join a passionate and mission-driven team that is building a 100 million dollar company looking to quadruple in scale. The successful candidate will be responsible for developing and implementing machine learning models, utilizing AWS, Python, Scala, and other technologies to design and develop data pipelines. The role requires a deep understanding of Spark, Snowflake, and experience consulting. The candidate should have a minimum of 6 years of experience in a similar role.
WHY JOIN US?
- Competitive Base Salary
- Company paid health plan for employees
- Flexible Hours
- Very generous PTO
- Dental and Vision, FSA, HSA
- Small team, autonomy
- Many more great perks!
JOB DETAILS
Responsibilities:
- Design, develop, and implement end-to-end cloud-based machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation).
- Ensure the robustness, scalability, and enterprise-level security of solutions.
- Collaborate with the data science team to transform prototypes into new products, services, and features.
- Build and maintain data platforms for machine learning model development, ensuring that data is readily available for insight generation.
- Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity.
- Collaborate with cross-functional teams to understand their business needs and proactively suggest / implement solutions to leverage technology and data.
- Provide thought-leadership and consulting services across the business, leading internal teams in the application of ML techniques and practices.
- Stay up-to-date with the latest industry trends and technologies to ensure the team is utilizing the best techniques and tools.
BASIC QUALIFICATIONS
- Bachelor’s degree in Computer Science, Information Technology, or a related field. Master’s degree or PhD will be a plus.
- Minimum of 6 years of experience as a Machine Learning Engineer or similar role.
- Demonstrated experience with ML Model, AWS, Python, Scala, Data pipelines, Spark, Snowflake, and consulting.
- Proven experience in designing and implementing machine learning solutions at scale on AWS.
- Solid experience in software development with a focus on quality, performance, and scalability.
- Proven ability to design and implement robust data pipelines.
- Strong experience with data modeling, data access, and data storage techniques.
- Excellent communication skills with the ability to effectively convey complex technical concepts to non-technical stakeholders.
- Strong problem-solving skills, attention to detail, and ability to think creatively.
- Ability to work independently and as part of a team in a fast-paced, dynamic environment.
- Strong passion for learning and adapting to new technologies.
- AWS Certified Machine Learning or similar certification will be a plus.
Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
INTRODUCTION
Opportunity to join the industries top AI Consulting firm, building out both traditional machine learning and cutting-edge generative AI projects of the future!
ABOUT THE ROLE
We are seeking a dynamic and innovative Machine Learning Solution Architect to join our team. This role is a unique opportunity to join a passionate and mission-driven team that is building a 100 million dollar company looking to quadruple in scale. The successful candidate will be responsible for developing and implementing machine learning models, utilizing AWS, Python, Scala, and other technologies to design and develop data pipelines. The role requires a deep understanding of Spark, Snowflake, and experience consulting. The candidate should have a minimum of 6 years of experience in a similar role.
WHY JOIN US?
- Competitive Base Salary
- Company paid health plan for employees
- Flexible Hours
- Very generous PTO
- Dental and Vision, FSA, HSA
- Small team, autonomy
- Many more great perks!
JOB DETAILS
Responsibilities:
- Design, develop, and implement end-to-end cloud-based machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation).
- Ensure the robustness, scalability, and enterprise-level security of solutions.
- Collaborate with the data science team to transform prototypes into new products, services, and features.
- Build and maintain data platforms for machine learning model development, ensuring that data is readily available for insight generation.
- Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity.
- Collaborate with cross-functional teams to understand their business needs and proactively suggest / implement solutions to leverage technology and data.
- Provide thought-leadership and consulting services across the business, leading internal teams in the application of ML techniques and practices.
- Stay up-to-date with the latest industry trends and technologies to ensure the team is utilizing the best techniques and tools.
BASIC QUALIFICATIONS
- Bachelor’s degree in Computer Science, Information Technology, or a related field. Master’s degree or PhD will be a plus.
- Minimum of 6 years of experience as a Machine Learning Engineer or similar role.
- Demonstrated experience with ML Model, AWS, Python, Scala, Data pipelines, Spark, Snowflake, and consulting.
- Proven experience in designing and implementing machine learning solutions at scale on AWS.
- Solid experience in software development with a focus on quality, performance, and scalability.
- Proven ability to design and implement robust data pipelines.
- Strong experience with data modeling, data access, and data storage techniques.
- Excellent communication skills with the ability to effectively convey complex technical concepts to non-technical stakeholders.
- Strong problem-solving skills, attention to detail, and ability to think creatively.
- Ability to work independently and as part of a team in a fast-paced, dynamic environment.
- Strong passion for learning and adapting to new technologies.
- AWS Certified Machine Learning or similar certification will be a plus.
Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
Solutions Architect Job Roles in Utah
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Search Solutions Architect Jobs in UtahSolutions Architect Jobs in Utah: Frequently Asked Questions
Which companies in Utah sponsor visas for solutions architects?
Adobe, Qualtrics, Instructure, Domo, and eBay have offices in Utah's Silicon Slopes corridor and have filed H-1B Labor Condition Applications for technical roles including solutions architects. Larger employers like Amazon Web Services and Microsoft also have Utah presences with established sponsorship programs. Healthcare technology companies such as Health Catalyst and Healtheon are additional sources of sponsorship activity in the state.
Which visa types are most common for solutions architect roles in Utah?
The H-1B is the most common visa for solutions architects in Utah, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, information systems, or a related engineering field. Candidates already holding L-1B intracompany transferee status or O-1 extraordinary ability visas may also find pathways, depending on their employer relationship and professional record.
Which cities in Utah have the most solutions architect sponsorship jobs?
Salt Lake City and the Lehi-Draper corridor, commonly called Silicon Slopes, account for the large majority of solutions architect openings in Utah. Provo and Orem also have meaningful activity given the proximity to Brigham Young University and Utah Valley University. Outside the Wasatch Front, sponsorship opportunities are limited, so most internationally sponsored hires are concentrated within these northern Utah metro areas.
How to find solutions architect visa sponsorship jobs in Utah?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to browse solutions architect roles posted by Utah employers who are open to sponsoring. Rather than sorting through general job boards and guessing which postings include sponsorship, Migrate Mate surfaces verified sponsorship-friendly listings so you can focus your applications on companies in Silicon Slopes and the Salt Lake metro that are already prepared to support international candidates.
Are there state-specific considerations for solutions architects pursuing sponsorship in Utah?
Utah's tech sector is heavily concentrated around the Silicon Slopes ecosystem, and many employers there are growth-stage companies that may have less established H-1B sponsorship infrastructure than large multinationals. Prevailing wage requirements for solutions architects in the Salt Lake metro are determined by the Department of Labor's wage levels for the area, so employers must meet those benchmarks regardless of company size. Graduates from the University of Utah's computing programs are a common local talent pipeline, which can increase competition for sponsorship slots at mid-size firms.
What is the prevailing wage for sponsored solutions architect jobs in Utah?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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