Senior AI Software Engineer Jobs in Ohio
Senior AI Software Engineer jobs in Ohio are in strong and growing demand, concentrated in financial technology, healthcare informatics, defense contracting, and enterprise software, with openings at every level from mid-career engineers stepping into senior roles through principal and staff-level positions. Columbus, Cincinnati, and Cleveland are the primary hiring centers, anchored by employers such as JPMorgan Chase, Nationwide, and Lockheed Martin, all of which have substantial Ohio operations and ongoing AI engineering needs. The most sought-after specialties include large language model integration, MLOps infrastructure, and applied machine learning for regulated industries. Find a role that fits below and apply directly.
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Showing 5 of 13+ Senior AI Software Engineer jobs
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Lead Software Engineer at JPMorganChase within the Corporate Technology - Enterprise Technology team , you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
Job responsibilities
- Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Develops secure high-quality production code, and reviews and debugs code written by others
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
- Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
- Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
- Adds to team culture of diversity, opportunity, inclusion, and respect
- Evolve and apply AI in software development and automation
- Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
- Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Hands-on experience in Java/J2EE, REST Services, Spring Boot
- Strong experience writing complex SQL queries, joins, PL/SQL, functions, and stored procedures.
- Hands-on experience in public cloud – Kubernetes, AWS and extensive experience with ECS, S3, RDS, Lambda, CloudWatch, Eventbridge, and Step Functions, as well as infrastructure automation using Terraform
- Proficiency in designing and implementing RESTful APIs for enterprise-scale applications, as well as proficiency in using design patterns and technologies to decouple system components, enhancing flexibility and maintainability.
- Ability to design software systems using object-oriented principles and practices.
- Experience in building Decoupled Systems.
- Proficiency in unit testing frameworks such as JUnit and Mockito for ensuring code quality.
- Knowledge of messaging platforms such as Apache Kafka
- Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
Preferred qualifications, capabilities, and skills
- Familiarity with modern front-end technologies like React JS, JavaScript, typescript
- Experience with SQL performance tuning, JDBC, and ORM frameworks (Hibernate/JPA)
- Familiarity with DevOps practices, containerization and orchestration
- Exposure to AI systems such as Copilot, Claude
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
ABOUT THE TEAM
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Lead Software Engineer at JPMorganChase within the Corporate Technology - Enterprise Technology team , you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
Job responsibilities
- Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Develops secure high-quality production code, and reviews and debugs code written by others
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
- Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
- Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
- Adds to team culture of diversity, opportunity, inclusion, and respect
- Evolve and apply AI in software development and automation
- Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
- Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Hands-on experience in Java/J2EE, REST Services, Spring Boot
- Strong experience writing complex SQL queries, joins, PL/SQL, functions, and stored procedures.
- Hands-on experience in public cloud – Kubernetes, AWS and extensive experience with ECS, S3, RDS, Lambda, CloudWatch, Eventbridge, and Step Functions, as well as infrastructure automation using Terraform
- Proficiency in designing and implementing RESTful APIs for enterprise-scale applications, as well as proficiency in using design patterns and technologies to decouple system components, enhancing flexibility and maintainability.
- Ability to design software systems using object-oriented principles and practices.
- Experience in building Decoupled Systems.
- Proficiency in unit testing frameworks such as JUnit and Mockito for ensuring code quality.
- Knowledge of messaging platforms such as Apache Kafka
- Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
Preferred qualifications, capabilities, and skills
- Familiarity with modern front-end technologies like React JS, JavaScript, typescript
- Experience with SQL performance tuning, JDBC, and ORM frameworks (Hibernate/JPA)
- Familiarity with DevOps practices, containerization and orchestration
- Exposure to AI systems such as Copilot, Claude
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
ABOUT THE TEAM
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
See All 13 Senior AI Software Engineer Jobs in Ohio
Find roles in Ohio that match your experience and apply in just a few clicks.
Find JobsSenior AI Software Engineer Jobs by City in Ohio
Where Ohio roles are concentrated, by current openings.
Senior AI Software Engineer Job Market in Ohio
A snapshot from current Ohio openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Healthcare & Medical Services
- Consulting & Professional Services
What Ohio Employers Look For
The qualifications that appear most often in senior AI software engineer jobs across Ohio.
- Bachelor's or master's degree in computer science, AI, or a closely related engineering field
- Five or more years of production-level experience building and deploying machine learning systems
- Strong proficiency in Python and at least one deep learning framework such as PyTorch or TensorFlow
- Demonstrated experience designing MLOps pipelines, model monitoring, and CI/CD workflows for AI systems
- Experience working with cloud platforms such as AWS, Azure, or Google Cloud for model training and inference
- Ability to lead technical design reviews and mentor junior engineers on AI best practices
Senior AI Software Engineer Jobs in Ohio: Frequently Asked Questions
How do you become a senior ai software engineer in Ohio?
Reaching a senior ai software engineer role in Ohio typically requires a bachelor's or master's degree in computer science, machine learning, or a related field, followed by several years of progressively complex engineering work. Ohio does not require a state-issued license for software engineering roles. Employers across Columbus, Cincinnati, and Cleveland consistently favor candidates who can show production-deployed AI systems, contributions to open-source ML projects, or certifications from major cloud platforms as concrete evidence of senior-level readiness.
How much do senior AI software engineers make in Ohio?
Senior AI software engineers in Ohio earn a median of about $114,090 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $77,790 for the lowest 10% to over $168,400 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire senior ai software engineers in Ohio?
Employers hiring senior ai software engineers in Ohio right now include JPMorganChase, PARKWOOD, and CVS Health, based on current listings on Migrate Mate as of August 2026. Ohio's concentration of Fortune 500 headquarters, large healthcare systems, and defense contractors means demand for senior AI engineering talent is distributed across industries rather than limited to pure technology firms.
Which Ohio cities have the most senior ai software engineer jobs?
Columbus, Ohio, and Cleveland have the most senior ai software engineer openings in Ohio. Columbus leads because of its dense cluster of insurance, financial services, and retail technology headquarters, while Cincinnati draws demand from consumer goods, healthcare, and logistics companies, and Cleveland's activity reflects its large hospital systems and advanced manufacturing sector, each of which is investing heavily in applied AI.
Are there remote senior ai software engineer jobs in Ohio?
Yes, and more than most fields. About 40% of senior ai software engineer openings tied to Ohio are remote or hybrid as of August 2026, reflecting how well the role's core work, including model development, code review, and system design, translates to distributed teams. The parts of the role most commonly offered remotely are research and prototyping work, while positions requiring on-site collaboration with hardware or regulated data infrastructure tend to require in-person presence.
How can I get hired as a senior ai software engineer in Ohio with little or no experience?
The most realistic entry path is securing a machine learning engineer or data scientist role first, then building toward senior AI work through demonstrated project ownership. Large Ohio employers such as Nationwide, Kroger, and Cleveland Clinic run structured associate engineer and rotational technology programs that accept candidates without extensive industry experience. Building a public portfolio of end-to-end ML projects, contributing to open-source repositories, and earning a cloud platform certification gives Ohio hiring managers the concrete evidence they need to consider a less-experienced candidate.
Where can I find and apply to senior ai software engineer jobs in Ohio?
You can find and apply to senior ai software engineer jobs in Ohio on Migrate Mate, which lists current Ohio openings across Columbus, Cincinnati, Cleveland, and surrounding areas. Search the listings for roles that match your experience and specialization, then apply directly to the ones that fit.
See All 13 Senior AI Software Engineer Jobs in Ohio
Find roles in Ohio that match your experience and apply in just a few clicks.
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