Senior AI Software Engineer Visa Sponsorship Jobs in Ohio
Ohio's senior AI software engineer market is anchored by major employers including JPMorgan Chase in Columbus, Progressive Insurance in Mayfield Village, and Nationwide, alongside a growing university research corridor connecting Ohio State, Case Western Reserve, and Carnegie Mellon's Pittsburgh proximity. Companies here actively petition for H-1B visa and O-1 visa workers across machine learning, NLP, and AI infrastructure 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%
Senior AI Software Engineer Job Roles in Ohio
See all 287+ Senior AI Software Engineer Jobs in Ohio
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Search Senior AI Software Engineer Jobs in OhioSenior AI Software Engineer Jobs in Ohio: Frequently Asked Questions
Which companies in Ohio sponsor visas for senior AI software engineers?
JPMorgan Chase, Nationwide, Progressive Insurance, and Gartner have consistent H-1B filing histories for senior AI and machine learning roles in Ohio. Cincinnati-based Procter and Gamble and Columbus-based Root Insurance have also sponsored AI engineering talent. Defense contractors like Leidos and Booz Allen Hamilton, which maintain significant Ohio operations, sponsor workers for AI roles that do not require security clearances.
Which visa types are most commonly used for senior AI software engineer roles in Ohio?
The H-1B is the most common visa category for senior AI software engineers in Ohio, as these roles typically meet the specialty occupation standard requiring a bachelor's degree or higher in computer science, AI, or a related field. Candidates with an exceptional publication record or industry recognition may qualify for the O-1A. Australians can access the E-3 visa as an H-1B alternative, and Canadian and Mexican nationals may qualify under the TN visa for certain engineering classifications.
Which Ohio cities have the most senior AI software engineer visa sponsorship opportunities?
Columbus accounts for the largest share of Ohio's senior AI sponsorship activity, driven by its concentration of financial services, insurance, and technology firms. Cleveland is a secondary hub, with health tech companies like Cleveland Clinic and university-affiliated startups generating demand for AI talent. Cincinnati has a smaller but active market, particularly in consumer goods and fintech. Dublin and Westerville, as Columbus suburbs with major corporate campuses, also appear frequently in H-1B LCA filings for AI roles.
How to find senior ai software engineer visa sponsorship jobs in Ohio?
Migrate Mate filters job listings specifically for visa sponsorship, so you can search senior AI software engineer roles in Ohio without sifting through positions that exclude international candidates. The platform surfaces openings from companies with active H-1B and O-1 filing histories, which is a reliable signal of sponsorship willingness. Filtering by Ohio and this role on Migrate Mate gives you a targeted list rather than a general engineering search.
Are there any Ohio-specific factors that affect visa sponsorship for senior AI software engineers?
Ohio's lower cost of living relative to coastal tech hubs means prevailing wage requirements for senior AI roles are generally set at a lower threshold under DOL wage levels, which can make sponsorship more financially straightforward for employers. The state's strong university pipeline through Ohio State University and Case Western Reserve also means some employers are experienced with OPT-to-H-1B transitions for AI candidates already working in Ohio on student visas.
What is the prevailing wage for sponsored senior ai software 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.