AI Engineer Jobs in Ohio
AI Engineer jobs in Ohio are actively sought across the state's growing technology, healthcare IT, and financial services sectors, with openings at every level from entry-level data practitioners through senior machine learning architects. Columbus, Cleveland, and Cincinnati lead in hiring volume, anchored by established employers such as Nationwide, JPMorgan Chase, and Battelle, which maintain significant Ohio operations and ongoing AI initiatives. The most in-demand specialties include large language model development, computer vision, and MLOps pipeline engineering. Find a role that fits below and apply directly.
Find AI Engineer JobsOverview
Showing 5 of 61+ AI Engineer jobs
Overview
Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose.
We’ve been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges.
Position Summary
Credence has an immediate need for an AI Software Engineer to join our growing AI and Automation practice. You will be a technical anchor in our AI and Automation practice. You’ll apply foundational AI skills to build and deploy data-driven solutions. Under mentorship from senior AI leaders, you’ll drive agentic AI development lifecycles and collaborate across engineering, data, and stakeholder teams to deliver high-impact, cloud-native AI capabilities that advance federal missions.
Responsibilities include, but are not limited to the duties listed below
-
Generative AI & LLM Usage
Contribute to projects using generative AI and LLMs, helping to prototype, customize, and refine AI powered capabilities. -
Agentic AI System Development
Support end-to-end AI development: model selection, agent creation, tool calling, response synthesis, and ambient background agents. -
AI Software Engineer
Maintain strong software engineering principles while leveraging the latest advancements in AI code generation to accelerate your workflows. -
Collaborative Engineering
Work alongside data engineers, software engineers, and data scientists to develop operational agent AI systems. -
Cloud Enablement
Help automate model deployment workflows using Infrastructure as Code (IaC), CI/CD pipelines, and container orchestration tools. -
Production Monitoring & Optimization
Monitor AI systems post-deployment, perform performance tuning, and apply best practices for reliability and scalability. -
Technical Rigor & Documentation
Write clean, well-documented code following industry and federal guidelines; support reproducible development. -
Professional Growth
Stay current on AI/ML trends and tools and actively learn from senior team members through mentorship and technical design reviews.
Requirements
What You Bring
- Bachelor’s or Master’s in Computer Science, AI/ML, or a related field.
- 3-7 years of hands-on experience delivering AI/ML solutions.
- Experience in generative AI, working with LLMs, and adding tool calls (MCP)
- Experience with agentic frameworks such as Agent2Agent Protocol, Mastra, Strands, AgentCore, and/or Gemini Agent Platform.
- Deep understanding of AI APIs such as OpenAI, Anthropic, Gemini, Bedrock
- Typescript proficiency and familiarity with key libraries and frameworks (Nx, NextJS, Mastra, Vercel AI SDK, Playwright, Jest, Vite)
- Python proficiency and familiarity with libraries and frameworks (uv, Pydantic, FastAPI, CrewAI, LangChain, LangGraph, Unstructured).
- Experience deploying applications using cloud platforms (AWS, GCP) and container tools (Docker, Kubernetes).
- Familiarity with CI/CD pipelines (GitLab CI)
- Experience with AI coding tools (Claude Code, Codex, Antigravity).
- Strong communication skills and client-oriented mindset.
- U.S. Citizenship with eligibility for DoD Secret clearance.
Preferred
- Curious and experimental about the latest innovations in AI with an orientation toward the relentless pursuit of delivering mission impact.
- Exposure to adjacent skillsets such as data engineering, data science, UI/UX, cloud engineering, and platform engineering to understand the entire software ecosystem.
- Experience with IaC tools such as Terraform, Open Tofu, AWS CDK, or CloudFormation to deploy cloud native applications.
- Knowledge of federal cybersecurity, RMF, FedRAMP, or regulatory frameworks.
Why This Role Matters
- Real-World Impact — Your work will support defense and health agencies where AI solutions directly contribute to national security and public well-being.
- Growth-Oriented Environment — Learn from technical leaders, innovate within Agentic AI, and mentor those around you in AI best practices.
- Culture of Empowerment — You’ll be part of a team that values innovation, trust, collaboration, and mission success.
Salary Range: $120,000 - $150,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications.
Benefits
- Health Care Plan (Medical, Dental & Vision)
- Retirement Plan (401k, IRA)
- Life Insurance (Basic, Voluntary & AD&D)
- Paid Time Off (Vacation, Sick & Public Holidays)
- Family Leave (Maternity, Paternity)
- Short Term & Long Term Disability
- Training & Development
- Wellness Resources
Overview
Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose.
We’ve been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges.
Position Summary
Credence has an immediate need for an AI Software Engineer to join our growing AI and Automation practice. You will be a technical anchor in our AI and Automation practice. You’ll apply foundational AI skills to build and deploy data-driven solutions. Under mentorship from senior AI leaders, you’ll drive agentic AI development lifecycles and collaborate across engineering, data, and stakeholder teams to deliver high-impact, cloud-native AI capabilities that advance federal missions.
Responsibilities include, but are not limited to the duties listed below
-
Generative AI & LLM Usage
Contribute to projects using generative AI and LLMs, helping to prototype, customize, and refine AI powered capabilities. -
Agentic AI System Development
Support end-to-end AI development: model selection, agent creation, tool calling, response synthesis, and ambient background agents. -
AI Software Engineer
Maintain strong software engineering principles while leveraging the latest advancements in AI code generation to accelerate your workflows. -
Collaborative Engineering
Work alongside data engineers, software engineers, and data scientists to develop operational agent AI systems. -
Cloud Enablement
Help automate model deployment workflows using Infrastructure as Code (IaC), CI/CD pipelines, and container orchestration tools. -
Production Monitoring & Optimization
Monitor AI systems post-deployment, perform performance tuning, and apply best practices for reliability and scalability. -
Technical Rigor & Documentation
Write clean, well-documented code following industry and federal guidelines; support reproducible development. -
Professional Growth
Stay current on AI/ML trends and tools and actively learn from senior team members through mentorship and technical design reviews.
Requirements
What You Bring
- Bachelor’s or Master’s in Computer Science, AI/ML, or a related field.
- 3-7 years of hands-on experience delivering AI/ML solutions.
- Experience in generative AI, working with LLMs, and adding tool calls (MCP)
- Experience with agentic frameworks such as Agent2Agent Protocol, Mastra, Strands, AgentCore, and/or Gemini Agent Platform.
- Deep understanding of AI APIs such as OpenAI, Anthropic, Gemini, Bedrock
- Typescript proficiency and familiarity with key libraries and frameworks (Nx, NextJS, Mastra, Vercel AI SDK, Playwright, Jest, Vite)
- Python proficiency and familiarity with libraries and frameworks (uv, Pydantic, FastAPI, CrewAI, LangChain, LangGraph, Unstructured).
- Experience deploying applications using cloud platforms (AWS, GCP) and container tools (Docker, Kubernetes).
- Familiarity with CI/CD pipelines (GitLab CI)
- Experience with AI coding tools (Claude Code, Codex, Antigravity).
- Strong communication skills and client-oriented mindset.
- U.S. Citizenship with eligibility for DoD Secret clearance.
Preferred
- Curious and experimental about the latest innovations in AI with an orientation toward the relentless pursuit of delivering mission impact.
- Exposure to adjacent skillsets such as data engineering, data science, UI/UX, cloud engineering, and platform engineering to understand the entire software ecosystem.
- Experience with IaC tools such as Terraform, Open Tofu, AWS CDK, or CloudFormation to deploy cloud native applications.
- Knowledge of federal cybersecurity, RMF, FedRAMP, or regulatory frameworks.
Why This Role Matters
- Real-World Impact — Your work will support defense and health agencies where AI solutions directly contribute to national security and public well-being.
- Growth-Oriented Environment — Learn from technical leaders, innovate within Agentic AI, and mentor those around you in AI best practices.
- Culture of Empowerment — You’ll be part of a team that values innovation, trust, collaboration, and mission success.
Salary Range: $120,000 - $150,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications.
Benefits
- Health Care Plan (Medical, Dental & Vision)
- Retirement Plan (401k, IRA)
- Life Insurance (Basic, Voluntary & AD&D)
- Paid Time Off (Vacation, Sick & Public Holidays)
- Family Leave (Maternity, Paternity)
- Short Term & Long Term Disability
- Training & Development
- Wellness Resources
See All 61 AI Engineer Jobs in Ohio
Find roles in Ohio that match your experience and apply in just a few clicks.
Find AI Engineer JobsAI Engineer Jobs by City in Ohio
Where Ohio roles are concentrated, by current openings.
AI Engineer Job Market in Ohio
A snapshot from current Ohio openings, updated as new roles post.
Who's Hiring
- JPMorganChase15
- McKesson4
- Logic3
- Credence2
- Flexjet2
Top Industries Hiring
- Banking & Financial Services
- Fintech
- Investment & Asset Management
What Ohio Employers Look For
The qualifications that appear most often in AI engineer jobs across Ohio.
- Bachelor's or master's degree in computer science, data science, or a related quantitative field
- Proficiency in Python and machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
- Hands-on experience designing, training, and deploying machine learning or deep learning models
- Familiarity with cloud platforms including AWS, Microsoft Azure, or Google Cloud for model deployment
- Experience working with large datasets, data pipelines, and tools such as Spark or SQL
- Strong communication skills and ability to collaborate with cross-functional teams on applied AI projects
AI Engineer Jobs in Ohio: Frequently Asked Questions
How do you become a ai engineer in Ohio?
AI engineering in Ohio has no state-issued license or board registration requirement, so the path runs through education and demonstrated technical skills. Most Ohio employers expect at minimum a bachelor's degree in computer science, data science, mathematics, or a closely related field, with a master's degree preferred for research-heavy roles at institutions like Ohio State University or companies like Battelle. Building a portfolio of deployed models and earning cloud certifications from AWS or Google strengthens a candidacy considerably.
Which companies hire ai engineers in Ohio?
Employers hiring ai engineers in Ohio right now include JPMorganChase, McKesson, and Logic, based on current listings on Migrate Mate as of November 2026. Ohio's mix of large financial institutions, healthcare networks, and federally funded research organizations gives the state a broad and relatively stable base of AI hiring that extends well beyond pure technology firms.
Which Ohio cities have the most ai engineer jobs?
Columbus, Cincinnati, and Dublin account for the greatest concentration of ai engineer openings in Ohio. Columbus drives the largest share through its dense cluster of insurance companies, fintech firms, and the Ohio State University research ecosystem, while Cleveland's healthcare and advanced manufacturing sectors sustain consistent demand, and Cincinnati benefits from the regional headquarters of large consumer goods and financial services companies.
Are there remote ai engineer jobs in Ohio?
Yes, and more than most fields. About 60% of ai engineer openings tied to Ohio are remote or hybrid as of November 2026, reflecting how central software-based model development is to the role. The work most commonly done fully remotely includes model training, experimentation, and pipeline development, while on-site or hybrid arrangements tend to apply to roles requiring close collaboration with hardware teams or sensitive enterprise data environments.
How can I get hired as a ai engineer in Ohio with little or no experience?
The most realistic entry path is through a machine learning or data science associate role, which large Ohio employers such as Nationwide, Progressive, and Ohio-based hospital systems regularly hire into without requiring prior AI-specific titles. Completing a capstone project or publishing a reproducible model on a public repository demonstrates applied ability far more effectively than coursework alone. Graduate programs at Ohio State University and Case Western Reserve University offer research assistant positions that provide supervised, resume-ready AI experience, and a cloud practitioner certification from AWS or Google gives early-career candidates a concrete credential to show alongside a portfolio.
Where can I find and apply to ai engineer jobs in Ohio?
You can find and apply to ai engineer jobs in Ohio on Migrate Mate, which lists current Ohio openings across Columbus, Cleveland, Cincinnati, and beyond. Find the roles that fit your experience and target location, then apply directly to each one.
See All 61 AI Engineer Jobs in Ohio
Find roles in Ohio that match your experience and apply in just a few clicks.
Find AI Engineer Jobs