Software Engineer AI Jobs in Ohio
Software Engineer AI jobs in Ohio are in strong demand, with active hiring concentrated in fintech, healthcare IT, advanced manufacturing, and enterprise software sectors at every level from entry-level through principal and staff engineer. Columbus, Cleveland, and Cincinnati lead the market, with major employers such as JPMorgan Chase, Nationwide, and Kroger Technology anchoring consistent hiring for AI and machine learning engineering talent. The most sought-after specialties include large language model integration, computer vision, MLOps infrastructure, and AI-driven data pipeline engineering. Find a role that fits below and apply directly.
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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 Software Engineer AI Jobs in Ohio
Find roles in Ohio that match your experience and apply in just a few clicks.
Find Software Engineer AI JobsSoftware Engineer AI Jobs by City in Ohio
Where Ohio roles are concentrated, by current openings.
Software Engineer AI 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 software engineer AI jobs across Ohio.
- Bachelor's or master's degree in computer science, AI, or a closely related engineering field
- Hands-on experience building and deploying machine learning or deep learning models in production
- Proficiency in Python and at least one ML framework such as PyTorch, TensorFlow, or JAX
- Familiarity with MLOps tooling including model versioning, monitoring, and cloud deployment pipelines
- Experience working with large datasets and distributed computing platforms such as Spark or Databricks
- Strong communication skills to translate model behavior and limitations to non-technical stakeholders
Software Engineer AI Jobs in Ohio: Frequently Asked Questions
How do you become a software engineer ai in Ohio?
Ohio does not require a state-issued license to work as a software engineer ai, so the path runs through education and demonstrated technical skill. Most Ohio employers expect at least a bachelor's degree in computer science, data science, or a related engineering discipline, with a master's increasingly preferred for AI-focused roles. Building a portfolio of deployed ML projects, contributing to open-source work, and earning vendor certifications in cloud AI platforms strengthens candidacy considerably in Ohio's competitive market.
How much do software engineer AIs make in Ohio?
Software engineer AIs 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 software engineer ais in Ohio?
Employers hiring software engineer ais 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 large financial services firms, insurance carriers, and healthcare technology companies means demand for AI engineering talent is distributed across multiple industries rather than a single sector.
Which Ohio cities have the most software engineer ai jobs?
Columbus, Ohio, and Cleveland account for the most software engineer ai openings in Ohio, driven by Columbus's dense fintech and insurance headquarters, Cleveland's growing healthtech and manufacturing innovation corridor, and Cincinnati's enterprise retail and consumer goods technology operations anchored by firms like Kroger Technology and Fifth Third Bank.
Are there remote software engineer ai jobs in Ohio?
Yes, and more than most fields. About 40% of software engineer ai openings tied to Ohio are remote or hybrid as of August 2026, reflecting how well AI and machine learning engineering translates to distributed work. Model development, experimentation, and code review are the functions most frequently performed fully remotely, while on-site expectations tend to apply mainly to embedded teams within regulated industries such as healthcare or finance.
How can I get hired as a software engineer ai in Ohio with little or no experience?
The most realistic entry path is a strong portfolio of end-to-end ML projects paired with a relevant degree or bootcamp credential. Ohio employers such as JPMorgan Chase and Nationwide run rotational technology programs and new-grad associate engineer cohorts that include AI and data tracks. Lateral moves from data analyst, backend engineer, or data engineer roles are common, and candidates who can show deployed model work, even from academic or personal projects, consistently earn interviews over those with credentials alone.
Where can I find and apply to software engineer ai jobs in Ohio?
You can find and apply to software engineer ai jobs in Ohio on Migrate Mate, which lists current Ohio openings across Columbus, Cleveland, Cincinnati, and beyond. Search the available roles, find the ones that fit your background and target location, and apply directly from the listing.
See All 13 Software Engineer AI Jobs in Ohio
Find roles in Ohio that match your experience and apply in just a few clicks.
Find Software Engineer AI Jobs