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Ai Integration Engineer Jobs in Ohio (NOW HIRING)

Westfield

AI Engineer

Westfield Center, OH · Hybrid

You'll work with other AI Engineers, software developers, and business stakeholders to ship ... Implement clean APIs where needed and standards-based integrations for enterprise systems. * Design ...

Deloitte

AI Engineer Consultant

Cleveland, OH · Hybrid

You will work with an AI Data Engineer (data ingestion, curation, governance, platform foundations) and a Lead AI Solutions Architect (end-to-end solution architecture, integration patterns, non ...

Deloitte

AI Engineer Consultant

Columbus, OH · Hybrid

You will work with an AI Data Engineer (data ingestion, curation, governance, platform foundations) and a Lead AI Solutions Architect (end-to-end solution architecture, integration patterns, non ...

Deloitte

AI Engineer Consultant

Cincinnati, OH · Hybrid

You will work with an AI Data Engineer (data ingestion, curation, governance, platform foundations) and a Lead AI Solutions Architect (end-to-end solution architecture, integration patterns, non ...

Kokosing

Construction AI Engineer

Westerville, OH

System Integration: Integrate AI capabilities into enterprise systems and field applications (e.g ... Partnering with engineers and analysts working on safety,operations, scheduling, and risk to turn ...

Kokosing

Construction AI Engineer

Westerville, OH · On-site

System Integration: Integrate AI capabilities into enterprise systems and field applications (e.g ... Partnering with engineers and analysts working on safety, operations, scheduling, and risk to turn ...

Reveleer

Infrastructure Engineer

New Albany, OH · On-site

$130K - $175K/yr

  • Medical

  • Dental

  • Vision

  • PTO

AI integration and intelligent automation Design and deploy AI-powered automation workflows that ... Partner with engineering and product teams to ensure AI infrastructure integrations meet security ...

LawPro.ai

OH · On-site

... integrate into production without relying on others to carry it across the finish line ... Requirements * 5+ years of AI/ML engineering experience evaluating, fine-tuning, and deploying ...

reveleer

Infrastructure Engineer

New Albany, OH · On-site

$130K - $175K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Senior Systems Engineer New Albany, OH or Glendale, CA About Reveleer Reveleer delivers a unified ... AI integration and intelligent automation • Design and deploy AI-powered automation workflows ...

Deloitte

Google AI Architect

Cleveland, OH · On-site

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure.

Deloitte

Google AI Architect

Columbus, OH · On-site

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure.

Deloitte

Google AI Architect

Cincinnati, OH · On-site

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure.

Deloitte

Google AI Lead Architect

Cincinnati, OH

$53 - $72.75/hr

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure.

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Showing results 21-40

All JobsAi Integration Engineer JobsAi Integration Engineer Jobs in Ohio

Ai Integration Engineer information

See Ohio salary details

$42.3K

$118.1K

$164.9K

How much do ai integration engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for ai integration engineer in Ohio is $118,148.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,900.00 and $133,100.00 per year, depending on experience, location, and employer.

What is an AI integration engineer?

AI Integration Engineers are professionals who specialize in implementing artificial intelligence solutions into existing systems, products, or workflows. They work closely with data scientists, software developers, and business teams to ensure that AI models and technologies are effectively deployed and seamlessly integrated. Their responsibilities often include customizing AI tools, developing APIs, ensuring data compatibility, and monitoring performance post-integration. These engineers play a crucial role in bridging the gap between AI research and practical business applications.

What are some common challenges faced by AI integration engineers when deploying machine learning models into existing business systems?

AI Integration Engineers often encounter challenges such as ensuring compatibility between machine learning models and legacy systems, managing data privacy and security, and optimizing model performance for real-time applications. They must also address issues related to model scalability and monitoring, as well as facilitate smooth collaboration between data science, IT, and business teams. Overcoming these challenges requires strong problem-solving skills, effective communication, and a deep understanding of both AI technologies and enterprise infrastructure.

What are the key skills and qualifications needed to thrive as an AI integration engineer, and why are they important?

To thrive as an AI Integration Engineer, you need a solid background in computer science, programming (Python, Java, or similar), and experience with AI/ML frameworks, often supported by a bachelor's degree in a related field. Familiarity with cloud platforms (such as AWS, Azure, or Google Cloud), API development, and tools like TensorFlow or PyTorch is typically required. Strong problem-solving abilities, collaboration, and clear communication are essential soft skills for bridging technical and business needs. These competencies ensure successful deployment and seamless integration of AI solutions into existing systems, driving innovation and business value.

What is the difference between Ai Integration Engineer vs Data Scientist?

AspectAi Integration EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; certifications in AI/ML toolsBachelor's or higher in CS, Statistics, or related; advanced degrees common
Work EnvironmentDeveloping and deploying AI solutions, integrating AI APIs into applicationsAnalyzing data, building predictive models, interpreting complex datasets
Employer & Industry UsageTech companies, AI service providers, software firmsResearch institutions, tech companies, finance, healthcare

While both roles involve AI, the Ai Integration Engineer focuses on implementing and integrating AI solutions into applications, whereas the Data Scientist analyzes data to develop models and insights. The roles often overlap but differ mainly in their primary focus: deployment versus analysis.

Are AI Integration Engineers highly paid?

AI Integration Engineers typically earn higher-than-average salaries due to their specialized skills in AI systems, programming, and data analysis. Compensation varies based on experience, location, and industry, but they are generally well-compensated compared to many other engineering roles.

What are popular job titles related to Ai Integration Engineer jobs in Ohio?

For Ai Integration Engineer jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Ai Integration Engineer jobs in Ohio look for?

The top searched job categories for Ai Integration Engineer jobs in Ohio are:

What cities in Ohio are hiring for Ai Integration Engineer jobs?

Cities in Ohio with the most Ai Integration Engineer job openings:

Ai Integration Engineer jobs near you
Infographic showing various Ai Integration Engineer job openings in Ohio as of August 2026, with employment types broken down into 78% Full Time, 16% Part Time, and 6% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $118,148 per year, or $56.8 per hour.

System Integration Engineer - Project Senior Consultant Managed Services

Deloitte

Dayton, OH

$162K/yr

Full-time

Re-posted 22 days ago

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

44th of 150 rated financial services

Job description

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Integration Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.
 
 
 
Work you'll do/Responsibilities  
 
  • Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
  • Design, build, and support Epic Bridges interfaces connecting Epic to third-party systems (labs, radiology, pharmacy, HIEs, devices, revenue cycle partners, public health).
  • Develop and maintain InterSystems Health Connect productions (business services, business processes, business operations) to route, orchestrate, and transform data.
  • Build and troubleshoot common HL7 v2 interface patterns (as applicable): ADT, ORM, ORU, SIU, DFT-including triggers, acknowledgements (ACK), error handling, retries, and reprocessing.
  • Create and maintain data mappings/transformations (e.g., HealthConnect DTL), and implement code-based logic when configuration alone is insufficient.
  • Configure integration connectivity and protocols (as applicable): MLLP/TCP, file/SFTP, web services/APIs; manage certificates/secure transport where required.
  • Perform end-to-end testing (unit/integrated/regression/cutover), validate message content and downstream behavior, and support go-lives.
  • Monitor interface health: queues, message traceability, alerts, dashboards; create and maintain runbooks/SOPs and operational documentation.
  • Lead/participate in incident triage and root-cause analysis (RCA) across upstream/downstream systems; implement fixes and preventive controls.
  • Follow change control and release management practices: environment promotions, documentation, peer review, and coordinated cutovers.
  • Collaborate with Epic application teams, integration platform teams, infrastructure/network/security, and vendors to deliver stable integration outcomes.
  • Ensure alignment with privacy/security/compliance expectations (HIPAA-aware handling, least privilege access, auditability).
 
 
The Team 
 
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
 
 
Qualifications Required

  • Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience 
  • Epic Bridges certification (current/active, per organization requirements).
  • Strong hands-on experience with InterSystems HealthConnect development and production support.
  • Strong knowledge of HL7 v2.x structure and operations (segments/fields, ACK workflows, message troubleshooting).
  • Experience in delivering and supporting interfaces in production (including on-call or time-sensitive support).
  • Ability to produce clear integration documentation (interface specs, mapping documents, support runbooks).
  • Hands-on experience with Git for version control, deployment orchestration, and code collaboration (e.g., GitHub, GitLab, Bitbucket)
  • Limited immigration sponsorship may be available
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
  • On-call/support rotation (as needed)
  • Off-hours cutovers during releases/go-lives
 
 
Preferred Qualifications
 
  • Experience with FHIR and API-based integration patterns (REST, OAuth2) in healthcare settings.
  • Experience with an additional interface engine or tooling (e.g., Cloverleaf, Rhapsody, Mirth/NextGen Connect, InterSystems IRIS for Health interoperability features).
  • Knowledge of X12 (claims/EDI) for revenue cycle integrations and/or other healthcare standards (e.g., C-CDA, DICOM) depending on domain.
  • Prior Epic implementation/upgrade/go-live experience and strong stakeholder management in complex clinical environments.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $91,100 to $143,600.
 
Qualifications:
Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Integration Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.
 
 
 
Work you'll do/Responsibilities  
 
  • Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
  • Design, build, and support Epic Bridges interfaces connecting Epic to third-party systems (labs, radiology, pharmacy, HIEs, devices, revenue cycle partners, public health).
  • Develop and maintain InterSystems Health Connect productions (business services, business processes, business operations) to route, orchestrate, and transform data.
  • Build and troubleshoot common HL7 v2 interface patterns (as applicable): ADT, ORM, ORU, SIU, DFT-including triggers, acknowledgements (ACK), error handling, retries, and reprocessing.
  • Create and maintain data mappings/transformations (e.g., HealthConnect DTL), and implement code-based logic when configuration alone is insufficient.
  • Configure integration connectivity and protocols (as applicable): MLLP/TCP, file/SFTP, web services/APIs; manage certificates/secure transport where required.
  • Perform end-to-end testing (unit/integrated/regression/cutover), validate message content and downstream behavior, and support go-lives.
  • Monitor interface health: queues, message traceability, alerts, dashboards; create and maintain runbooks/SOPs and operational documentation.
  • Lead/participate in incident triage and root-cause analysis (RCA) across upstream/downstream systems; implement fixes and preventive controls.
  • Follow change control and release management practices: environment promotions, documentation, peer review, and coordinated cutovers.
  • Collaborate with Epic application teams, integration platform teams, infrastructure/network/security, and vendors to deliver stable integration outcomes.
  • Ensure alignment with privacy/security/compliance expectations (HIPAA-aware handling, least privilege access, auditability).
 
 
The Team 
 
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
 
 
Qualifications Required

  • Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience 
  • Epic Bridges certification (current/active, per organization requirements).
  • Strong hands-on experience with InterSystems HealthConnect development and production support.
  • Strong knowledge of HL7 v2.x structure and operations (segments/fields, ACK workflows, message troubleshooting).
  • Experience in delivering and supporting interfaces in production (including on-call or time-sensitive support).
  • Ability to produce clear integration documentation (interface specs, mapping documents, support runbooks).
  • Hands-on experience with Git for version control, deployment orchestration, and code collaboration (e.g., GitHub, GitLab, Bitbucket)
  • Limited immigration sponsorship may be available
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
  • On-call/support rotation (as needed)
  • Off-hours cutovers during releases/go-lives
 
 
Preferred Qualifications
 
  • Experience with FHIR and API-based integration patterns (REST, OAuth2) in healthcare settings.
  • Experience with an additional interface engine or tooling (e.g., Cloverleaf, Rhapsody, Mirth/NextGen Connect, InterSystems IRIS for Health interoperability features).
  • Knowledge of X12 (claims/EDI) for revenue cycle integrations and/or other healthcare standards (e.g., C-CDA, DICOM) depending on domain.
  • Prior Epic implementation/upgrade/go-live experience and strong stakeholder management in complex clinical environments.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $91,100 to $143,600.
 
Education:Bachelor's DegreeEmployment Type:

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