Software Engineer AI Visa Sponsorship Jobs in Ohio
Ohio's AI engineering jobs are concentrated in Columbus, Cleveland, and Cincinnati, where employers like Nationwide, JPMorgan Chase, and Procter & Gamble have built dedicated AI and machine learning teams. Ohio State University and Case Western Reserve create strong local talent pipelines, and several of these employers have established H-1B visa sponsorship histories for software engineer AI 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%
Software Engineer AI Job Roles in Ohio
See all 287+ Software Engineer AI Jobs in Ohio
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Search Software Engineer AI Jobs in OhioSoftware Engineer AI Jobs in Ohio: Frequently Asked Questions
Which companies sponsor visas for software engineer AIs in Ohio?
Ohio's largest H-1B sponsors for AI and software engineering roles include Nationwide Insurance and JPMorgan Chase in Columbus, Progressive Insurance in Mayfield Village, and Procter & Gamble in Cincinnati. Healthcare systems like Cleveland Clinic and OhioHealth also sponsor AI engineering roles as they expand their data and machine learning infrastructure. Consulting firms with Ohio offices, including Accenture and Deloitte, are additional sources of sponsorship.
Which visa types are most common for software engineer AI roles in Ohio?
The H-1B is the most common visa for software engineer AI positions in Ohio, as these roles clearly meet the specialty occupation requirement given their degree prerequisites in computer science, mathematics, or a related field. Candidates already in the U.S. on F-1 OPT or STEM OPT extensions often transition through the H-1B lottery. The O-1A is an option for applicants with demonstrated extraordinary achievement in AI research or published work.
Which cities in Ohio have the most software engineer AI sponsorship jobs?
Columbus accounts for the largest share of AI engineering sponsorship activity in Ohio, driven by its insurance, fintech, and technology sector employers. Cleveland is second, supported by healthcare AI investment at institutions like Cleveland Clinic and the presence of manufacturing companies modernizing with machine learning. Cincinnati rounds out the top three, with Procter & Gamble and a growing cluster of consumer technology and data companies sponsoring engineering roles.
How to find software engineer ai visa sponsorship jobs in Ohio?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to find software engineer AI roles in Ohio without manually screening each employer. You can search by state and role to surface positions at Ohio-based companies that have active sponsorship histories. This is particularly useful for narrowing down employers in Columbus, Cleveland, and Cincinnati who are hiring for AI-focused engineering positions.
Are there any Ohio-specific considerations for software engineer AI sponsorship?
Ohio's Department of Labor prevailing wage determinations apply to H-1B petitions filed for Ohio worksites, and AI-specialized roles are typically classified at higher wage levels reflecting the technical depth required. Ohio State University and Case Western Reserve produce a steady pipeline of AI and machine learning graduates, which means competition for sponsored roles can be meaningful at entry level. Employers in regulated industries like insurance and healthcare may have additional compliance requirements that affect hiring timelines.
What is the prevailing wage for sponsored software engineer ai 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.