Solutions Architect Visa Sponsorship Jobs in Ohio
Solutions architect visa sponsorship jobs in Ohio are concentrated in Columbus, Cleveland, and Cincinnati, where employers like Nationwide, Progressive, and Huntington Bank hire for cloud and enterprise architecture roles. Ohio's growing tech sector, anchored by finance, healthcare IT, and logistics, creates steady demand for sponsored solutions architects across both large enterprises and mid-sized technology firms.
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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.

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 Ohio
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Search Solutions Architect Jobs in OhioSolutions Architect Jobs in Ohio: Frequently Asked Questions
Which companies sponsor visas for solutions architects in Ohio?
Ohio's largest visa-sponsoring employers for solutions architects include Nationwide Insurance, Progressive, Huntington National Bank, Cardinal Health, and Atos. Tech-focused firms like CoverMyMeds and Root Insurance in Columbus also file sponsorships regularly. Manufacturing and logistics companies, particularly around Cincinnati and Cleveland, increasingly hire solutions architects to support digital transformation and cloud migration initiatives.
Which visa types are most common for solutions architect roles in Ohio?
The H-1B is the most common visa category for solutions architects in Ohio, given the role's specialty occupation status requiring a relevant bachelor's degree or higher in computer science, engineering, or a related field. L-1A and L-1B visas are also used when candidates transfer from a foreign affiliated office. Employers with federal contracts occasionally support TN visas for Canadian and Mexican nationals in qualifying technology roles.
Which cities in Ohio have the most solutions architect sponsorship jobs?
Columbus accounts for the largest share of solutions architect sponsorship activity in Ohio, driven by its concentration of insurance, fintech, and healthcare IT employers. Cleveland is the second-strongest market, with demand from financial services firms and healthcare networks like University Hospitals and Cleveland Clinic. Cincinnati rounds out the top three, with sponsorship activity from consumer goods companies and regional technology service providers.
How to find solutions architect visa sponsorship jobs in Ohio?
Migrate Mate is the most direct way to find solutions architect visa sponsorship jobs in Ohio, with listings filtered specifically by role and sponsorship willingness. Ohio's market is concentrated enough that filtering by Columbus, Cleveland, or Cincinnati will surface the most active employers. Reviewing employer H-1B filing history can also help you identify which Ohio companies have a consistent track record of sponsoring solutions architect roles before you apply.
Are there any Ohio-specific considerations for solutions architects seeking visa sponsorship?
Ohio falls under the Department of Labor's prevailing wage requirements like all other states, but wage levels for solutions architects can vary noticeably between Columbus metro and smaller Ohio markets. Ohio State University and Case Western Reserve University produce strong computer science and engineering pipelines, which means some employers already have OPT-to-H-1B sponsorship pathways in place. Candidates from these programs may find smoother entry points with Ohio-based employers familiar with the process.
What is the prevailing wage for sponsored solutions architect jobs in Ohio?
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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