AI Data Engineer Visa Sponsorship Jobs in Ohio
Ohio's AI data engineer hiring is anchored by major employers in Columbus, Cincinnati, and Cleveland, including JPMorgan Chase, Nationwide Insurance, and Procter and Gamble. The state's growing tech sector, combined with strong university pipelines from Ohio State and Case Western Reserve, makes it an active market for visa sponsorship in data and AI engineering roles.
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Get Access To All JobsA Brief Overview
The Senior Artificial Intelligence (AI) Engineer will facilitate the design and development of innovative artificial intelligence solutions, leveraging their experience in software engineering, machine learning, deep learning, and natural language processing. Collaborating with cross-functional teams, they will actively contribute to the development, testing, and training of AI and advanced analytics models. They will be responsible for hands-on coding and machine learning algorithm development to predict patient outcomes, optimize treatment plans, and improve overall healthcare delivery. They will play a key role in mentoring junior team members, staying abreast of industry trends, and continuously enhancing our AI and predictive capabilities.
What You Will Do
- Leverage Microsoft Technologies (Azure and Foundry) to build state of the art software solutions.
- Design, develop and implement advanced analytics and AI solutions that align with our overall business objectives and requirements.
- Utilize programming languages (such as Python, R, Pyspark and SQL) and analytics frameworks to create efficient and scalable code.
- Work closely with operational and business owners in applying advanced analytics to clinical data for outcomes analysis, patient risk stratification, and predictive modeling in our healthcare setting. Implement and optimize machine learning algorithms, statistical models, and other advanced analytics techniques.
- Create and maintain data models that facilitate efficient storage, retrieval, and analysis of large volumes of structured and unstructured data. Ensure that the data models support the integration of diverse data sources.
- Collaborate with healthcare professionals, data scientists, IT teams, and other stakeholders to integrate analytics into healthcare processes and decision-making. Communicate effectively to bridge the gap between technical and non-technical stakeholders to ensure alignment with overall business goals.
- Maintain continuing education on the latest advancements in analytics, machine learning, and related technologies. Demonstrate a willingness to explore and adopt new tools and methodologies to continuously enhance the analytics architecture across the system.
- Thoroughly test, refine, and optimize analytics solutions to generate accurate, reliable, and robust learning models. Implement testing frameworks and methodologies to support the development lifecycle.
- Create and maintain documentation for developed analytics solutions, including code documentation, data flows, models, and algorithms. Provide knowledge transfer and training to other team members and end-users as needed.
- Incorporate security measures to protect sensitive data within analytics solutions and ensure compliance with data protection and privacy regulations.
- Train staff in advanced analytics, machine learning methods, and computer languages to enhance IT analytics capabilities. Utilize and maintain appropriate change control procedures and standards and perform call rotation duties as required.
Additional Responsibilities
- Performs other duties as assigned.
- Complies with all policies and standards.
- For specific duties and responsibilities, refer to documentation provided by the department during orientation.
- Must abide by all requirements to safely and securely maintain Protected Health Information (PHI) for our patients. Annual training, the UH Code of Conduct and UH policies and procedures are in place to address appropriate use of PHI in the workplace.
Education
- Bachelor's Degree in Computer Science, Computer Engineering, Business Management, Mathematics or related field. (Required)
- Master's Degree in Data Science or Data Analytics related concentration. (Preferred)
Work Experience
- 5+ years Experience in software development/engineering using current Microsoft technologies including web application development and/or data science and advanced analytics solutions. (Required)
- 3+ years Knowledge in AI technologies and tools, encompassing Microsoft/Azure Foundry, Machine Learning, Deep Learning, Natural Language Processing, and the application of AI technologies to create practical and comprehensive technological solutions. (Required)
- 1+ years Experience with healthcare data structures, regulatory considerations, and electronic health records (EHR) systems, along with a background in developing and implementing advanced analytics solutions in the healthcare domain. (Preferred)
Knowledge, Skills, & Abilities
- Experience with the following web authoring languages, database technologies, methodologies, tools and technologies: C#/ .NET, SQL, JavaScript / JQuery, Web APIs, Visual Studio, Azure DevOps, IIS, Agile and SCRUM software development methodologies (Required proficiency)
- Knowledge and experience with advanced analytics, statistics, AI, Machine Learning, development and implementation of predictive analytics in clinical or operational settings. (Required proficiency)
- Knowledge of best programming practices to address security vulnerabilities. (Required proficiency)
- Ability to troubleshoot technical problems related to the implementation and processing of software. (Required proficiency)
- Exhibits a proven track record of leveraging Machine Learning to extract valuable insights and predictions from diverse datasets in a business or healthcare setting. (Required proficiency)
- Proficient in one or more programming languages commonly used in data analytics such as Python, Pyspark, R, Scala or similar, with the ability to manipulate and analyze large datasets. Familiarity with data manipulation and analysis libraries. (Required proficiency)
- Demonstrates a strategic mindset with the ability to identify opportunities for leveraging analytics to solve business challenges, improve processes, and drive overall business success. (Preferred proficiency)
- Exceptional communication skills, with the ability to articulate complex analytical findings to both technical and non-technical stakeholders. (Required proficiency)
- Strong attention to detail and highly organized. (Required proficiency)
Physical Demands
- Standing Occasionally
- Walking Occasionally
- Sitting Constantly
- Lifting Rarely up to 20 lbs
- Carrying Rarely up to 20 lbs
- Pushing Rarely up to 20 lbs
- Pulling Rarely up to 20 lbs
- Climbing Rarely up to 20 lbs
- Balancing Rarely
- Stooping Rarely
- Kneeling Rarely
- Crouching Rarely
- Crawling Rarely
- Reaching Rarely
- Handling Occasionally
- Grasping Occasionally
- Feeling Rarely
- Talking Constantly
- Hearing Constantly
- Repetitive Motions Frequently
- Eye/Hand/Foot Coordination Frequently
Travel Requirements
- 0%
A Brief Overview
The Senior Artificial Intelligence (AI) Engineer will facilitate the design and development of innovative artificial intelligence solutions, leveraging their experience in software engineering, machine learning, deep learning, and natural language processing. Collaborating with cross-functional teams, they will actively contribute to the development, testing, and training of AI and advanced analytics models. They will be responsible for hands-on coding and machine learning algorithm development to predict patient outcomes, optimize treatment plans, and improve overall healthcare delivery. They will play a key role in mentoring junior team members, staying abreast of industry trends, and continuously enhancing our AI and predictive capabilities.
What You Will Do
- Leverage Microsoft Technologies (Azure and Foundry) to build state of the art software solutions.
- Design, develop and implement advanced analytics and AI solutions that align with our overall business objectives and requirements.
- Utilize programming languages (such as Python, R, Pyspark and SQL) and analytics frameworks to create efficient and scalable code.
- Work closely with operational and business owners in applying advanced analytics to clinical data for outcomes analysis, patient risk stratification, and predictive modeling in our healthcare setting. Implement and optimize machine learning algorithms, statistical models, and other advanced analytics techniques.
- Create and maintain data models that facilitate efficient storage, retrieval, and analysis of large volumes of structured and unstructured data. Ensure that the data models support the integration of diverse data sources.
- Collaborate with healthcare professionals, data scientists, IT teams, and other stakeholders to integrate analytics into healthcare processes and decision-making. Communicate effectively to bridge the gap between technical and non-technical stakeholders to ensure alignment with overall business goals.
- Maintain continuing education on the latest advancements in analytics, machine learning, and related technologies. Demonstrate a willingness to explore and adopt new tools and methodologies to continuously enhance the analytics architecture across the system.
- Thoroughly test, refine, and optimize analytics solutions to generate accurate, reliable, and robust learning models. Implement testing frameworks and methodologies to support the development lifecycle.
- Create and maintain documentation for developed analytics solutions, including code documentation, data flows, models, and algorithms. Provide knowledge transfer and training to other team members and end-users as needed.
- Incorporate security measures to protect sensitive data within analytics solutions and ensure compliance with data protection and privacy regulations.
- Train staff in advanced analytics, machine learning methods, and computer languages to enhance IT analytics capabilities. Utilize and maintain appropriate change control procedures and standards and perform call rotation duties as required.
Additional Responsibilities
- Performs other duties as assigned.
- Complies with all policies and standards.
- For specific duties and responsibilities, refer to documentation provided by the department during orientation.
- Must abide by all requirements to safely and securely maintain Protected Health Information (PHI) for our patients. Annual training, the UH Code of Conduct and UH policies and procedures are in place to address appropriate use of PHI in the workplace.
Education
- Bachelor's Degree in Computer Science, Computer Engineering, Business Management, Mathematics or related field. (Required)
- Master's Degree in Data Science or Data Analytics related concentration. (Preferred)
Work Experience
- 5+ years Experience in software development/engineering using current Microsoft technologies including web application development and/or data science and advanced analytics solutions. (Required)
- 3+ years Knowledge in AI technologies and tools, encompassing Microsoft/Azure Foundry, Machine Learning, Deep Learning, Natural Language Processing, and the application of AI technologies to create practical and comprehensive technological solutions. (Required)
- 1+ years Experience with healthcare data structures, regulatory considerations, and electronic health records (EHR) systems, along with a background in developing and implementing advanced analytics solutions in the healthcare domain. (Preferred)
Knowledge, Skills, & Abilities
- Experience with the following web authoring languages, database technologies, methodologies, tools and technologies: C#/ .NET, SQL, JavaScript / JQuery, Web APIs, Visual Studio, Azure DevOps, IIS, Agile and SCRUM software development methodologies (Required proficiency)
- Knowledge and experience with advanced analytics, statistics, AI, Machine Learning, development and implementation of predictive analytics in clinical or operational settings. (Required proficiency)
- Knowledge of best programming practices to address security vulnerabilities. (Required proficiency)
- Ability to troubleshoot technical problems related to the implementation and processing of software. (Required proficiency)
- Exhibits a proven track record of leveraging Machine Learning to extract valuable insights and predictions from diverse datasets in a business or healthcare setting. (Required proficiency)
- Proficient in one or more programming languages commonly used in data analytics such as Python, Pyspark, R, Scala or similar, with the ability to manipulate and analyze large datasets. Familiarity with data manipulation and analysis libraries. (Required proficiency)
- Demonstrates a strategic mindset with the ability to identify opportunities for leveraging analytics to solve business challenges, improve processes, and drive overall business success. (Preferred proficiency)
- Exceptional communication skills, with the ability to articulate complex analytical findings to both technical and non-technical stakeholders. (Required proficiency)
- Strong attention to detail and highly organized. (Required proficiency)
Physical Demands
- Standing Occasionally
- Walking Occasionally
- Sitting Constantly
- Lifting Rarely up to 20 lbs
- Carrying Rarely up to 20 lbs
- Pushing Rarely up to 20 lbs
- Pulling Rarely up to 20 lbs
- Climbing Rarely up to 20 lbs
- Balancing Rarely
- Stooping Rarely
- Kneeling Rarely
- Crouching Rarely
- Crawling Rarely
- Reaching Rarely
- Handling Occasionally
- Grasping Occasionally
- Feeling Rarely
- Talking Constantly
- Hearing Constantly
- Repetitive Motions Frequently
- Eye/Hand/Foot Coordination Frequently
Travel Requirements
- 0%
AI Data Engineer Job Roles in Ohio
See all 310+ AI Data Engineer Jobs in Ohio
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Search AI Data Engineer Jobs in OhioAI Data Engineer Jobs in Ohio: Frequently Asked Questions
Which companies sponsor visas for AI data engineers in Ohio?
Several large Ohio-based employers have a track record of sponsoring H-1B visas for data and AI engineering roles. JPMorgan Chase in Columbus, Nationwide Insurance, and Procter and Gamble in Cincinnati are among the most active. Ohio also has a growing presence of healthcare and insurance technology firms, including Optum and Cardinal Health, that regularly hire and sponsor AI-focused engineers.
Which visa types are most common for AI data engineer roles in Ohio?
The H-1B is the most common visa category for AI data engineers in Ohio, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, data science, or a related field. Candidates already in the U.S. on OPT or STEM OPT extensions frequently transition to H-1B sponsorship through Ohio employers. The O-1A is an option for candidates with demonstrated exceptional ability, though it requires substantial evidence of achievement.
How to find ai data engineer visa sponsorship jobs in Ohio?
Migrate Mate is a job board built specifically for international candidates seeking visa sponsorship in the U.S. You can filter directly for AI data engineer roles in Ohio to see employers actively open to sponsoring. This saves time compared to screening general job postings manually for sponsorship language, which is especially valuable given how competitive and time-sensitive H-1B and OPT timelines can be.
Which cities in Ohio have the most AI data engineer sponsorship jobs?
Columbus is Ohio's primary tech hiring hub and concentrates the largest share of AI data engineer sponsorship activity, driven by financial services, insurance, and retail tech companies headquartered there. Cincinnati follows, with strength in consumer goods and healthcare technology. Cleveland has a smaller but active market tied to healthcare systems like Cleveland Clinic and University Hospitals, which increasingly invest in AI and data infrastructure.
Are there any Ohio-specific considerations for AI data engineers pursuing visa sponsorship?
Ohio employers sponsoring H-1B workers must file a Labor Condition Application certifying they will pay the prevailing wage for the role and location. Prevailing wages for AI data engineers are determined by the Department of Labor based on the specific Ohio metro area, so compensation benchmarks differ between Columbus, Cincinnati, and Cleveland. Ohio State University and Case Western Reserve also produce a significant pipeline of international graduates who enter the local job market on OPT, making early employer engagement important given H-1B cap timelines.
What is the prevailing wage for sponsored ai data engineer 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.