AI Engineer Jobs in Columbus, OH
AI Engineer jobs in Columbus are in strong demand across the Short North tech corridor, the Easton area, and the downtown Arena District, with deep hiring in healthcare AI, fintech, and enterprise software. Companies actively posting roles include JPMorganChase, The Hartford, and Accenture. See the openings below and apply to the ones that match your experience.
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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 Chief Technology Office, 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.
- 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.
- Builds components to be drop-in and AI-native with automated upgrades so adopters across the enterprise stay current with minimal effort.
- Leads communities of practice across Software Engineering to drive awareness and adoption of leading-edge technologies and shared frameworks.
- Adds to team culture of diversity, opportunity, inclusion, and respect.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience.
- 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.
- Hands-on practical experience delivering system design, application development, testing, and operational stability.
- Advanced skills in Java, JavaScript, or Python.
- Proficiency in automation and continuous delivery methods.
- Proficient in all aspects of the Software Development Life Cycle.
- Advanced understanding of agile methodologies such as CI/CD, application resiliency, and security.
- Demonstrated proficiency in a technical discipline such as cloud, artificial intelligence, or machine learning.
- Practical cloud-native experience.
Preferred qualifications, capabilities, and skills
- Experience building SDKs, frameworks, or developer platforms that other engineering teams consume.
- Experience with AI-native tooling and AI-assisted development workflows.
- Demonstrated code shipped to production that leverages AI or builds AI capabilities.
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
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 Chief Technology Office, 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.
- 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.
- Builds components to be drop-in and AI-native with automated upgrades so adopters across the enterprise stay current with minimal effort.
- Leads communities of practice across Software Engineering to drive awareness and adoption of leading-edge technologies and shared frameworks.
- Adds to team culture of diversity, opportunity, inclusion, and respect.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience.
- 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.
- Hands-on practical experience delivering system design, application development, testing, and operational stability.
- Advanced skills in Java, JavaScript, or Python.
- Proficiency in automation and continuous delivery methods.
- Proficient in all aspects of the Software Development Life Cycle.
- Advanced understanding of agile methodologies such as CI/CD, application resiliency, and security.
- Demonstrated proficiency in a technical discipline such as cloud, artificial intelligence, or machine learning.
- Practical cloud-native experience.
Preferred qualifications, capabilities, and skills
- Experience building SDKs, frameworks, or developer platforms that other engineering teams consume.
- Experience with AI-native tooling and AI-assisted development workflows.
- Demonstrated code shipped to production that leverages AI or builds AI capabilities.
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
See All 53 AI Engineer Jobs in Columbus
Find roles in Columbus that match your experience and apply in just a few clicks.
Find AI Engineer JobsAI Engineer Job Market in Columbus
Who's Hiring
- JPMorganChase27
- The Hartford6
- Accenture4
- Bread Financial4
- Battelle2
Top Industries Hiring
- Fintech
- Banking & Financial Services
- Investment & Asset Management
- Insurance
- Science & Research
AI Engineer Jobs in Columbus: Frequently Asked Questions
How do I get a ai engineer job in Columbus?
Focus your search on Columbus's healthcare systems, regional banks and insurers, and the growing enterprise software cluster concentrated downtown and along the Easton corridor. Candidates who demonstrate applied ML experience, Python fluency, and familiarity with cloud platforms like AWS or Azure stand out in this market. Networking through Columbus's local tech meetups and university partnerships also opens doors with employers who hire regularly but post quietly.
Which companies hire ai engineers in Columbus?
Companies currently hiring ai engineers in Columbus include JPMorganChase, The Hartford, and Accenture, per current listings on Migrate Mate as of August 2026. Columbus's mix of large healthcare systems, regional financial institutions, and mid-size software companies means hiring comes from a broad range of employer types, not just pure tech firms.
Are there remote ai engineer jobs in Columbus?
Yes, ai engineering work is well-suited to remote and hybrid arrangements because most of the role is software and data-driven rather than on-site. About 62% of ai engineer openings tied to Columbus are remote or hybrid as of August 2026, reflecting how broadly employers in this market have adopted flexible models. Model development and research tasks tend to be the most remote-friendly, while production deployment and cross-team integration roles more often require some in-office presence.
How can I get a ai engineer job in Columbus with little or no experience?
The most realistic entry path in Columbus is targeting roles at mid-size software companies or healthcare technology vendors that hire junior ML engineers or data scientists and develop talent internally. Look for titles like machine learning associate, data engineer, or junior AI developer as stepping stones. Columbus's proximity to Ohio State University means many employers are accustomed to hiring recent graduates and co-op participants, so applied project work or a portfolio demonstrating real model-building is a stronger differentiator here than certifications alone.
Which industries hire the most ai engineers in Columbus?
The sectors hiring the most ai engineers in Columbus are Fintech, Banking & Financial Services, and Investment & Asset Management, based on current listings on Migrate Mate as of August 2026. Columbus's concentration of large healthcare networks, insurance carriers, and regional financial services firms drives consistent demand for AI talent focused on predictive analytics, automation, and data infrastructure.
See All 53 AI Engineer Jobs in Columbus
Find roles in Columbus that match your experience and apply in just a few clicks.
Find AI Engineer Jobs