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.
Find Senior AI Software Engineer JobsOverview
Showing 5 of 20+ Senior AI Software Engineer Jobs in Ohio with Visa Sponsorship
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all Senior AI Software Engineer Jobs in Ohio with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Senior AI Software Engineer Jobs in Ohio with Visa Sponsorship.
Get Access To All JobsINTRODUCTION
We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.
The Hartford is seeking Senior AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team.
The Hartford is developing industry‑leading AI and machine learning capabilities to improve the various facets of the Global Specialty underwriting experience. On the Global Specialty Applied AI team, we utilize the latest AI products and frameworks to accelerate the processes that our partners touch day to day and advance the speed and intelligence with which we make our decisions. As a Senior Machine Learning AI Engineer, you will play a critical role in designing, building, and operationalizing production‑grade AI solutions—partnering closely with product, engineering, and platform leaders to deliver measurable impact.
Our core values
We build AI solutions, not models. We are thoughtful in supporting the end-to-end business problem, with an eye to systems design.
We are trusted and transparent. We collaborate tightly with our partners and are mindful of their capacity to absorb change.
We provide assets that are safe to buy. Our products are delivered with a full monitoring solution to ensure our products continue to deliver as expected.
We will earn the right to influence. With humble confidence, we listen carefully to learn from our customers and become partners in problem solving.
* We are practical and evolutional. We first deliver a minimally viable product and over time expand its sophistication based on feedback.
Responsibilities
Research, experiment with, and implement suitable Generative and ML algorithms, tools and technologies.
Participate in identifying and assessing opportunities i.e. value of new data sources and analytical techniques and technology, to ensure ongoing competitive advantage.
Review work with leadership and partners on an ongoing basis to calibrate deliverables against expectations.
Accountable for deployment design, development and maintenance of both traditional ML and AI models.
Work with junior engineers and peers to provide mentorship and thought leadership. Be comfortable presenting new concepts to technical audiences.
Collaborate with partners Enterprise Data, Applied AI, Business, Cloud Enablement Team, and Enterprise Architecture teams.
Delivery of critical milestones for model deployment in the AWS and GCP clouds.
Adopt and promote MLOps best practices to the Data Science community.
MINIMUM REQUIREMENTS
Must be authorized to work in the U.S. now and in the future.
Master’s degree in related field or 5+ years of equivalent experience in a research or DevOps function.
Development experience developing solutions within AWS, GCP or both.
Experience developing repeatable architectural patterns; ability to identify redundancies and eliminate them with these patterns.
Experience building and deploying API services within the Cloud.
Experience building CICD pipeline using Jenkins or equivalent.
Experience with IAC (Infrastructure as Code) including Cloud Formation, Terraform, or equivalents.
Experience in Unix, git, and strong object oriented development experience using Python.
Experience in end to end model development lifecycle, from ideation through post production monitoring.
Experience with workflow automation platforms (Apache Airflow, Autosys, similar).
Basic understanding of Data Science model development life cycle.
Familiarity with emerging data centric technologies such generative AI, Agentic workflows, and embedding LLM’s into automated processes.
COMPENSATION
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$117,200 - $175,800
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
INTRODUCTION
We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.
The Hartford is seeking Senior AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team.
The Hartford is developing industry‑leading AI and machine learning capabilities to improve the various facets of the Global Specialty underwriting experience. On the Global Specialty Applied AI team, we utilize the latest AI products and frameworks to accelerate the processes that our partners touch day to day and advance the speed and intelligence with which we make our decisions. As a Senior Machine Learning AI Engineer, you will play a critical role in designing, building, and operationalizing production‑grade AI solutions—partnering closely with product, engineering, and platform leaders to deliver measurable impact.
Our core values
We build AI solutions, not models. We are thoughtful in supporting the end-to-end business problem, with an eye to systems design.
We are trusted and transparent. We collaborate tightly with our partners and are mindful of their capacity to absorb change.
We provide assets that are safe to buy. Our products are delivered with a full monitoring solution to ensure our products continue to deliver as expected.
We will earn the right to influence. With humble confidence, we listen carefully to learn from our customers and become partners in problem solving.
* We are practical and evolutional. We first deliver a minimally viable product and over time expand its sophistication based on feedback.
Responsibilities
Research, experiment with, and implement suitable Generative and ML algorithms, tools and technologies.
Participate in identifying and assessing opportunities i.e. value of new data sources and analytical techniques and technology, to ensure ongoing competitive advantage.
Review work with leadership and partners on an ongoing basis to calibrate deliverables against expectations.
Accountable for deployment design, development and maintenance of both traditional ML and AI models.
Work with junior engineers and peers to provide mentorship and thought leadership. Be comfortable presenting new concepts to technical audiences.
Collaborate with partners Enterprise Data, Applied AI, Business, Cloud Enablement Team, and Enterprise Architecture teams.
Delivery of critical milestones for model deployment in the AWS and GCP clouds.
Adopt and promote MLOps best practices to the Data Science community.
MINIMUM REQUIREMENTS
Must be authorized to work in the U.S. now and in the future.
Master’s degree in related field or 5+ years of equivalent experience in a research or DevOps function.
Development experience developing solutions within AWS, GCP or both.
Experience developing repeatable architectural patterns; ability to identify redundancies and eliminate them with these patterns.
Experience building and deploying API services within the Cloud.
Experience building CICD pipeline using Jenkins or equivalent.
Experience with IAC (Infrastructure as Code) including Cloud Formation, Terraform, or equivalents.
Experience in Unix, git, and strong object oriented development experience using Python.
Experience in end to end model development lifecycle, from ideation through post production monitoring.
Experience with workflow automation platforms (Apache Airflow, Autosys, similar).
Basic understanding of Data Science model development life cycle.
Familiarity with emerging data centric technologies such generative AI, Agentic workflows, and embedding LLM’s into automated processes.
COMPENSATION
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$117,200 - $175,800
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
Senior AI Software Engineer Job Roles in Ohio
See all Senior AI Software Engineer Jobs in Ohio
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
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.