AI Data Engineer Visa Sponsorship Jobs in Ohio
Ohio's AI data engineer hiring is anchored by major employers in Columbus, Cincinnati, and Cleveland, including JPMorgan Chase, Nationwide Insurance, and Procter and Gamble. The state's growing tech sector, combined with strong university pipelines from Ohio State and Case Western Reserve, makes it an active market for visa sponsorship in data and AI engineering roles.
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Get Access To All JobsJOB DESCRIPTION
You will join an industry-leading team building production-grade AI-powered software, from intelligent retrieval and automation systems to generative AI tools that augment financial advisors, investors, and operations teams.
As a Software Engineer III at JPMorganChase within Applied AI and Machine Learning, you will build, deliver, and continuously improve real software that solves real problems. You will partner closely with financial advisors, client service, product, operations, and risk and control teams to translate ambiguous needs into measurable outcomes, and you will help scale responsible, well-governed AI capabilities across multiple use cases.
Job responsibilities
- Prepare and manage data for AI products by sourcing, understanding, and curating structured and unstructured datasets for generative AI and machine learning applications.
- Build and maintain data pipelines supporting retrieval-augmented generation and analytics, including ingestion, parsing, chunking, metadata tagging, indexing, and transformations.
- Diagnose and resolve data issues by identifying root causes (for example, missing data, duplicates, schema changes, and inconsistent definitions) and coordinating remediation with upstream teams.
- Implement data quality checks, profiling, validation, reconciliation, and monitoring to detect issues early and prevent production regressions.
- Support governance and controls by following data handling requirements (access, retention, privacy, and security) and documenting sources, definitions, and assumptions.
- Collaborate with stakeholders to translate business needs into scoped technical approaches with measurable success criteria.
- Develop with modern generative AI techniques, including retrieval-augmented generation, prompt design, agentic workflows, evaluation frameworks, and safety guardrails.
- Use AI-assisted development tools as part of your daily workflow and contribute to team best practices for AI-augmented engineering.
- Communicate system behavior, trade-offs, and business impact clearly to both technical and non-technical audiences.
- Document designs, experiments, and decisions rigorously, including validation evidence and reproducibility details.
- Build reusable tooling and infrastructure (shared libraries, evaluation harnesses, prompt libraries, and pipelines) to scale AI delivery across use cases.
Required qualifications, capabilities and skills
- Formal training or certification on software engineering concepts and 3+ years applied experience.
- Proficiency in Python and strong software engineering fundamentals, including testing, version control, code review, continuous integration/continuous delivery, and writing maintainable production-quality code.
- Strong SQL and data management capability, including dataset comprehension, data profiling and quality checks, and diagnosing pipeline and data issues (for example, schema drift and inconsistent metrics).
- Experience building or supporting data pipelines for analytics or machine learning workflows.
- Familiarity with containerization and service fundamentals (for example, Docker and REST-based services).
- Practical experience with modern generative AI approaches, such as large language model APIs, retrieval-augmented generation architectures, embeddings, vector search, tokenization concepts, and evaluation of generative outputs.
- Understanding of responsible AI concepts, including privacy, security, and guardrails, and the ability to partner effectively with risk and control functions.
- Strong communication and collaboration skills across engineering, product, operations, and governance partners.
Preferred qualifications, capabilities and skills
- Exposure to distributed data processing patterns (for example, Spark).
- Familiarity with deep learning frameworks and ecosystems (for example, PyTorch, TensorFlow, and Hugging Face).
- Knowledge of financial markets, wealth management products, or advisor and client workflows.
- Demonstrated builder mindset through open-source contributions or personal projects in AI and machine learning.
About us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
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
J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.
JOB DESCRIPTION
You will join an industry-leading team building production-grade AI-powered software, from intelligent retrieval and automation systems to generative AI tools that augment financial advisors, investors, and operations teams.
As a Software Engineer III at JPMorganChase within Applied AI and Machine Learning, you will build, deliver, and continuously improve real software that solves real problems. You will partner closely with financial advisors, client service, product, operations, and risk and control teams to translate ambiguous needs into measurable outcomes, and you will help scale responsible, well-governed AI capabilities across multiple use cases.
Job responsibilities
- Prepare and manage data for AI products by sourcing, understanding, and curating structured and unstructured datasets for generative AI and machine learning applications.
- Build and maintain data pipelines supporting retrieval-augmented generation and analytics, including ingestion, parsing, chunking, metadata tagging, indexing, and transformations.
- Diagnose and resolve data issues by identifying root causes (for example, missing data, duplicates, schema changes, and inconsistent definitions) and coordinating remediation with upstream teams.
- Implement data quality checks, profiling, validation, reconciliation, and monitoring to detect issues early and prevent production regressions.
- Support governance and controls by following data handling requirements (access, retention, privacy, and security) and documenting sources, definitions, and assumptions.
- Collaborate with stakeholders to translate business needs into scoped technical approaches with measurable success criteria.
- Develop with modern generative AI techniques, including retrieval-augmented generation, prompt design, agentic workflows, evaluation frameworks, and safety guardrails.
- Use AI-assisted development tools as part of your daily workflow and contribute to team best practices for AI-augmented engineering.
- Communicate system behavior, trade-offs, and business impact clearly to both technical and non-technical audiences.
- Document designs, experiments, and decisions rigorously, including validation evidence and reproducibility details.
- Build reusable tooling and infrastructure (shared libraries, evaluation harnesses, prompt libraries, and pipelines) to scale AI delivery across use cases.
Required qualifications, capabilities and skills
- Formal training or certification on software engineering concepts and 3+ years applied experience.
- Proficiency in Python and strong software engineering fundamentals, including testing, version control, code review, continuous integration/continuous delivery, and writing maintainable production-quality code.
- Strong SQL and data management capability, including dataset comprehension, data profiling and quality checks, and diagnosing pipeline and data issues (for example, schema drift and inconsistent metrics).
- Experience building or supporting data pipelines for analytics or machine learning workflows.
- Familiarity with containerization and service fundamentals (for example, Docker and REST-based services).
- Practical experience with modern generative AI approaches, such as large language model APIs, retrieval-augmented generation architectures, embeddings, vector search, tokenization concepts, and evaluation of generative outputs.
- Understanding of responsible AI concepts, including privacy, security, and guardrails, and the ability to partner effectively with risk and control functions.
- Strong communication and collaboration skills across engineering, product, operations, and governance partners.
Preferred qualifications, capabilities and skills
- Exposure to distributed data processing patterns (for example, Spark).
- Familiarity with deep learning frameworks and ecosystems (for example, PyTorch, TensorFlow, and Hugging Face).
- Knowledge of financial markets, wealth management products, or advisor and client workflows.
- Demonstrated builder mindset through open-source contributions or personal projects in AI and machine learning.
About us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
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
J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.
AI Data Engineer Job Roles in Ohio
See all 82+ AI Data Engineer Jobs in Ohio
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Search AI Data Engineer Jobs in OhioAI Data Engineer Jobs in Ohio: Frequently Asked Questions
Which companies sponsor visas for AI data engineers in Ohio?
Several large Ohio-based employers have a track record of sponsoring H-1B visas for data and AI engineering roles. JPMorgan Chase in Columbus, Nationwide Insurance, and Procter and Gamble in Cincinnati are among the most active. Ohio also has a growing presence of healthcare and insurance technology firms, including Optum and Cardinal Health, that regularly hire and sponsor AI-focused engineers.
Which visa types are most common for AI data engineer roles in Ohio?
The H-1B is the most common visa category for AI data engineers in Ohio, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, data science, or a related field. Candidates already in the U.S. on OPT or STEM OPT extensions frequently transition to H-1B sponsorship through Ohio employers. The O-1A is an option for candidates with demonstrated exceptional ability, though it requires substantial evidence of achievement.
How to find ai data engineer visa sponsorship jobs in Ohio?
Migrate Mate is a job board built specifically for international candidates seeking visa sponsorship in the U.S. You can filter directly for AI data engineer roles in Ohio to see employers actively open to sponsoring. This saves time compared to screening general job postings manually for sponsorship language, which is especially valuable given how competitive and time-sensitive H-1B and OPT timelines can be.
Which cities in Ohio have the most AI data engineer sponsorship jobs?
Columbus is Ohio's primary tech hiring hub and concentrates the largest share of AI data engineer sponsorship activity, driven by financial services, insurance, and retail tech companies headquartered there. Cincinnati follows, with strength in consumer goods and healthcare technology. Cleveland has a smaller but active market tied to healthcare systems like Cleveland Clinic and University Hospitals, which increasingly invest in AI and data infrastructure.
Are there any Ohio-specific considerations for AI data engineers pursuing visa sponsorship?
Ohio employers sponsoring H-1B workers must file a Labor Condition Application certifying they will pay the prevailing wage for the role and location. Prevailing wages for AI data engineers are determined by the Department of Labor based on the specific Ohio metro area, so compensation benchmarks differ between Columbus, Cincinnati, and Cleveland. Ohio State University and Case Western Reserve also produce a significant pipeline of international graduates who enter the local job market on OPT, making early employer engagement important given H-1B cap timelines.
What is the prevailing wage for sponsored ai data 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.
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