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 JobsJob Description
The AI Governance Officer is a senior-level contributor responsible for administering the Bank's enterprise AI governance framework and supporting the oversight of artificial intelligence use cases throughout their lifecycle. The role exercises sound judgment in assessing AI-related risks, facilitating risk-based governance decisions, coordinating cross-functional review processes, and ensuring compliance with internal standards and regulatory expectations. The position plays a critical role in enabling responsible innovation while maintaining transparency, accountability, and effective oversight of AI capabilities deployed across the institution.
Essential Functions
- Leads administration of the Bank’s enterprise AI risk governance framework and supporting procedures. Coordinates activities across all business lines and corporate functions.
- Coordinate intake, assessment, and governance activities for proposed AI use cases. Determine and document the classification of solutions as models, agents, tools, job aids, or other categories defined by policy.
- Serve coordinator for the AI Working Group, including preparation of agendas, meeting materials, decision logs, and action item tracking.
- Maintain the enterprise inventory of AI use cases and associated governance records.
- Assess proposed AI implementations to determine applicable governance requirements and control expectations.
- Develop management reporting and dashboards related to AI inventory, approvals, issues, and emerging risks. Monitor compliance with AI governance standards and escalate material issues to executive leadership.
- Promote awareness and understanding of AI governance requirements throughout the institution.
- Develops and maintains enterprise policies, standards, and procedures governing AI risk.
- Serve as a senior member of the Model Risk team, exercising sound judgment in evaluating model risk and making decisions on model approvals and issue closures as a delegate of the Chief Model Risk Officer.
- Participate in the research and evaluation of emerging modeling techniques, including AI/ML, and assess their applicability and risk implications within the institution.
- Contribute to the development and enhancement of the model risk management framework, including validation methodologies, documentation standards, and governance practices.
- Review academic and industry research, summarize key insights, and propose practical applications to improve model risk oversight and innovation.
- Ensure compliance with Northwest’s policies and procedures, as well as applicable federal and state regulations including SR26-2, interagency AI/ML guidance, and the U.S. Treasury Financial Services AI Risk Management Framework.
- Interprets evolving regulatory expectations relating to artificial intelligence and translates them into practical governance requirements.
- Serves as the primary coordinator for regulatory examinations, audits, and independent reviews of AI governance.
Additional Essential Functions
- Ensure compliance with Northwest’s policies and procedures, and Federal/State regulations
- Navigate Microsoft Office Software, computer applications, and software specific to the department in order to maximize technology tools and gain efficiency
- Work as part of a team
- Work with on-site equipment
What You Bring to the Team
- Participate in enterprise initiatives involving emerging technologies and advanced analytics.
- Own the design, implementation, and enhancement of governance workflows within Archer or similar systems.
- Recommend customer service enhancements
Qualifications
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Education
Bachelor's Degree
Undergraduate degree in risk management, business, economics, statistics, mathematics, information systems, computer science, law, or related discipline.
Master's Degree
Master's degree in risk management, business, economics, statistics, mathematics, information systems, computer science, law, or related discipline.
Work Experience
8 - 12 years
Experience in a financial institution or consulting environment, with demonstrated exposure to AI governance
And
3 - 5 years
Experience evaluating or governing AI/ML use cases across the lifecycle, including:
- pre-implementation assessment
- control design
- post-deployment monitoring
Experience with generative AI, machine learning, or decision-support systems, including understanding of associated risks (e.g., bias, explainability, data dependency, automation risk)
Experience supporting or interacting with internal audit, regulators, or independent model review functions
Additional Knowledge, Skills And Abilities
- Ability to apply risk-based judgment in ambiguous situations, particularly in evaluating AI use cases where regulatory expectations and governance standards are evolving
- Ability to analyze complex AI/ML concepts and communicate risks, limitations, and trade-offs clearly to both technical and non-technical stakeholders
- Ability to challenge and influence business and technology stakeholders to ensure appropriate risk identification, control design, and governance outcomes
- Ability to identify patterns, emerging risks, and systemic issues across multiple AI use cases rather than evaluating them in isolation.
- Ability to make sound governance decisions in gray areas, including classification (model vs agent vs tool), control requirements, and escalation thresholds
- Ability to coordinate cross-functional governance processes and drive clear outcomes across Risk, Technology, Compliance, Legal, and Business teams
- Ability to develop and interpret risk metrics, monitoring outputs, and performance indicators for AI systems
Licenses and Certifications
Certified Information Systems Auditor (CISA)
Certified in Risk and Information Systems Control (CRISC)
Financial Risk Manager (FRM)
Certified Third-Party Risk Professional (CTPRP)
Relevant AI governance certifications
Northwest is an equal opportunity employer. We are committed to creating an inclusive environment for all employees.
Job Description
The AI Governance Officer is a senior-level contributor responsible for administering the Bank's enterprise AI governance framework and supporting the oversight of artificial intelligence use cases throughout their lifecycle. The role exercises sound judgment in assessing AI-related risks, facilitating risk-based governance decisions, coordinating cross-functional review processes, and ensuring compliance with internal standards and regulatory expectations. The position plays a critical role in enabling responsible innovation while maintaining transparency, accountability, and effective oversight of AI capabilities deployed across the institution.
Essential Functions
- Leads administration of the Bank’s enterprise AI risk governance framework and supporting procedures. Coordinates activities across all business lines and corporate functions.
- Coordinate intake, assessment, and governance activities for proposed AI use cases. Determine and document the classification of solutions as models, agents, tools, job aids, or other categories defined by policy.
- Serve coordinator for the AI Working Group, including preparation of agendas, meeting materials, decision logs, and action item tracking.
- Maintain the enterprise inventory of AI use cases and associated governance records.
- Assess proposed AI implementations to determine applicable governance requirements and control expectations.
- Develop management reporting and dashboards related to AI inventory, approvals, issues, and emerging risks. Monitor compliance with AI governance standards and escalate material issues to executive leadership.
- Promote awareness and understanding of AI governance requirements throughout the institution.
- Develops and maintains enterprise policies, standards, and procedures governing AI risk.
- Serve as a senior member of the Model Risk team, exercising sound judgment in evaluating model risk and making decisions on model approvals and issue closures as a delegate of the Chief Model Risk Officer.
- Participate in the research and evaluation of emerging modeling techniques, including AI/ML, and assess their applicability and risk implications within the institution.
- Contribute to the development and enhancement of the model risk management framework, including validation methodologies, documentation standards, and governance practices.
- Review academic and industry research, summarize key insights, and propose practical applications to improve model risk oversight and innovation.
- Ensure compliance with Northwest’s policies and procedures, as well as applicable federal and state regulations including SR26-2, interagency AI/ML guidance, and the U.S. Treasury Financial Services AI Risk Management Framework.
- Interprets evolving regulatory expectations relating to artificial intelligence and translates them into practical governance requirements.
- Serves as the primary coordinator for regulatory examinations, audits, and independent reviews of AI governance.
Additional Essential Functions
- Ensure compliance with Northwest’s policies and procedures, and Federal/State regulations
- Navigate Microsoft Office Software, computer applications, and software specific to the department in order to maximize technology tools and gain efficiency
- Work as part of a team
- Work with on-site equipment
What You Bring to the Team
- Participate in enterprise initiatives involving emerging technologies and advanced analytics.
- Own the design, implementation, and enhancement of governance workflows within Archer or similar systems.
- Recommend customer service enhancements
Qualifications
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Education
Bachelor's Degree
Undergraduate degree in risk management, business, economics, statistics, mathematics, information systems, computer science, law, or related discipline.
Master's Degree
Master's degree in risk management, business, economics, statistics, mathematics, information systems, computer science, law, or related discipline.
Work Experience
8 - 12 years
Experience in a financial institution or consulting environment, with demonstrated exposure to AI governance
And
3 - 5 years
Experience evaluating or governing AI/ML use cases across the lifecycle, including:
- pre-implementation assessment
- control design
- post-deployment monitoring
Experience with generative AI, machine learning, or decision-support systems, including understanding of associated risks (e.g., bias, explainability, data dependency, automation risk)
Experience supporting or interacting with internal audit, regulators, or independent model review functions
Additional Knowledge, Skills And Abilities
- Ability to apply risk-based judgment in ambiguous situations, particularly in evaluating AI use cases where regulatory expectations and governance standards are evolving
- Ability to analyze complex AI/ML concepts and communicate risks, limitations, and trade-offs clearly to both technical and non-technical stakeholders
- Ability to challenge and influence business and technology stakeholders to ensure appropriate risk identification, control design, and governance outcomes
- Ability to identify patterns, emerging risks, and systemic issues across multiple AI use cases rather than evaluating them in isolation.
- Ability to make sound governance decisions in gray areas, including classification (model vs agent vs tool), control requirements, and escalation thresholds
- Ability to coordinate cross-functional governance processes and drive clear outcomes across Risk, Technology, Compliance, Legal, and Business teams
- Ability to develop and interpret risk metrics, monitoring outputs, and performance indicators for AI systems
Licenses and Certifications
Certified Information Systems Auditor (CISA)
Certified in Risk and Information Systems Control (CRISC)
Financial Risk Manager (FRM)
Certified Third-Party Risk Professional (CTPRP)
Relevant AI governance certifications
Northwest is an equal opportunity employer. We are committed to creating an inclusive environment for all employees.
Software Engineer AI Job Roles 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.