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Healthcare Engineer Jobs in Ohio (NOW HIRING)

The AI Developer plays a key role in designing, developing, and deploying intelligent solutions ... Domain: Healthcare, Facets, GuidingCare, etc Note: Domain skills are nice to have and not mandatory.

Healthcare Project Architect

Columbus, OH

$80K - $107K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Healthcare Project Architect Join GPD Group, where our purpose is to improve the well-being of our ... For more than 60 years, GPD Group has been providing architectural, engineering and planning ...

Project Manager - Healthcare

Columbus, OH · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... architects, engineers, and consultants throughout all project phases Oversee project startup ... with healthcare, life sciences, or medical office building (MOB) projects preferred, including ...

New

About Healthcare at DLR Group DLR Group is a nationally recognized integrated design practice with ... engineering, interiors, planning, and building optimization for new builds, renovations, and ...

Project Manager - Healthcare

Columbus, OH · On-site

$110K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... architects, engineers, and consultants throughout all project phases Oversee project startup ... with healthcare, life sciences, or medical office building (MOB) projects preferred, including ...

New

Project Manager - Healthcare

Columbus, OH · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... architects, engineers, and consultants throughout all project phases Oversee project startup ... with healthcare, life sciences, or medical office building (MOB) projects preferred, including ...

Showing results 21-40

Healthcare Engineer information

See Ohio salary details

$36.1K

$110.2K

$182.1K

How much do healthcare engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for healthcare engineer in Ohio is $110,152.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,900.00 and $144,000.00 per year, depending on experience, location, and employer.

What is the difference between Healthcare Engineer vs Biomedical Engineer?

AspectHealthcare EngineerBiomedical Engineer
CredentialsTypically requires a degree in engineering, often with healthcare or clinical focusRequires a degree in biomedical engineering, bioengineering, or related fields
Work EnvironmentHospitals, healthcare facilities, medical device companiesResearch labs, medical device manufacturing, hospitals
Industry UsageDesigning and maintaining healthcare systems, medical equipmentDeveloping medical devices, prosthetics, imaging systems

Healthcare Engineers focus on designing and maintaining healthcare systems and medical equipment within clinical settings, while Biomedical Engineers develop medical devices and technologies. Both roles require engineering backgrounds but differ in their specific applications and work environments.

How do healthcare engineers typically collaborate with medical staff and administrators to implement new technologies in healthcare facilities?

Healthcare Engineers often work closely with doctors, nurses, and administrative staff to understand their needs and ensure that technological solutions meet clinical and operational requirements. This collaboration involves conducting needs assessments, providing technical expertise during technology selection, and facilitating training on new equipment. Regular meetings and feedback sessions are common to address challenges and ensure that new systems integrate smoothly into existing workflows. Effective communication and teamwork are essential to balance technical feasibility with patient care priorities.

What is a healthcare engineer?

Healthcare engineers are professionals who apply engineering principles and technology to improve healthcare systems, equipment, and processes. They work in hospitals, clinics, and medical device companies to design, maintain, and optimize medical equipment, healthcare facilities, and infrastructure. Their goal is to ensure that healthcare environments are safe, efficient, and compliant with regulatory standards. Healthcare engineers often collaborate with medical staff, administrators, and other engineers to solve technical problems and improve patient care.

What do healthcare engineers do?

Healthcare engineers design, develop, and maintain medical equipment, healthcare facilities, and systems to improve patient care and safety. They often work with biomedical devices, hospital infrastructure, and health information technology, requiring knowledge of engineering principles and compliance with healthcare regulations.

What are the key skills and qualifications needed to thrive as a healthcare engineer?

To thrive as a Healthcare Engineer, you need a strong background in biomedical or clinical engineering, medical device technology, and compliance with healthcare regulations, usually supported by a degree in engineering or a related field. Familiarity with hospital equipment, health information systems, and certifications like Certified Clinical Engineer (CCE) or CBET are often required. Excellent problem-solving, communication, and teamwork skills help healthcare engineers collaborate effectively with clinical staff and ensure patient safety. These skills and qualities are critical for maintaining reliable medical technology and supporting high-quality patient care in complex healthcare environments.
Infographic showing various Healthcare Engineer job openings in Ohio as of August 2026, with employment types broken down into 87% Full Time, 5% Part Time, and 8% Contract. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $110,152 per year, or $53 per hour.

AI Developer (HealthCare Experience)

CareSource

Dayton, OH • On-site, Remote

$94K - $164K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


CareSource rating

7.7

Company rating: 7.7 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

202nd of 306 rated insurance


Job description

Job Summary:
The AI Developer plays a key role in designing, developing, and deploying intelligent solutions. This role is focused on solving complex business challenges through innovative AI technologies and will collaborate closely with cross-functional teams to ensure timely and high-quality delivery of solutions aligned with defined objectives.
DS/Gen/Agentic AI resources with good hands-on skills on:
  • Current Advancements: Generative AI, Agentic AI, LLM fine-tuning, RAG, GraphRAG, Vector databases, Knowledge Graph, Langchain, Langgraph, etc
  • Model Deployment: MLOPs pipeline, CI/CD, Model Deployment, Docker, Kubernetes, Azure Cloud, Github, etc
  • Core Skills: Traditional AI / ML / Data Science skillsets (Predictive, Prescriptive, Descriptive, Statistical, Optimization, Simulation, Natural Language processing, Computer Vision, Image Processing, etc)
  • Domain: Healthcare, Facets, GuidingCare, etc

Note: Domain skills are nice to have and not mandatory.
Essential Functions:
  • Design and implement AI models and algorithms tailored to diverse business challenges
  • Define and lead the architecture of Generative AI platforms, including large language models (LLMs), vector databases, and inference pipelines
  • Maintain deep expertise in modern generative AI technologies such as Knowledge Graphs, OpenAI, LLaMA, Python, LangChain, vectorization, embeddings, semantic search, Retrieval-Augmented Generation (RAG), Infrastructure as Code (IaC), and Streamlit
  • Rapidly prototype proof-of-concept solutions to assess emerging technologies and innovative ideas
  • Foster innovation and collaboration in a fast-paced environment through a hands-on, imaginative approach and a self-driven, inquisitive mindset
  • Leverage AI-assisted development tools, including GitHub Copilot and internally developed solutions, to enhance productivity
  • Apply creative problem-solving techniques to identify and implement process improvements
  • Assess technical risks and develop effective mitigation strategies to ensure successful project delivery
  • Collaborate with data scientists, software engineers, and product teams to integrate AI capabilities into production-ready systems
  • Partner with leadership to evaluate existing services and develop strategies to optimize delivery and support
  • Perform data preprocessing and analysis on large datasets to uncover actionable insights
  • Train, validate, and fine-tune machine learning and deep learning models for optimal performance
  • Deploy models using cloud infrastructure and containerization technologies such as Docker and Kubernetes
  • Implement and manage MLOps pipelines to automate model training, deployment, monitoring, and lifecycle management
  • Apply AIOps practices to enhance operational efficiency, automate incident detection, and optimize system performance using AI-driven insights
  • Continuously monitor model performance and retrain as needed to maintain accuracy and relevance
  • Stay current with industry trends, tools, and frameworks, and assess their applicability to organizational goals
  • Document workflows, models, and codebases to support maintainability and knowledge sharing
  • Provide timely and transparent progress updates to stakeholders, highlighting key milestones, challenges, and proposed solutions
  • Perform any other job duties as requested

Education and Experience:
  • Bachelor's degree in Computer Science, Data Science, Artificial Intelligence or related field, or equivalent years of relevant work experience is required
  • Master's degree is preferred
  • Minimum of five (5) years of experience in developing and deploying AI/ML models is required
  • Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools Is required
  • Experience with Agile methodologies is required

Competencies, Knowledge, and Skills:
  • Knowledge of model interpretability and ethical AI practices
  • Proficiency in Python and libraries such as TensorFlow, PyTorch, Scikit-learn, and OpenCV
  • Strong analytical, evaluative and problem-solving abilities
  • Strong understanding of data structures, algorithms, and software engineering principles
  • Excellent problem-solving skills and attention to detail
  • Strong communication and collaboration abilities
  • Knowledge of healthcare and managed care

Preferred Licensure and Certification:
  • AI / Data Science certifications or credentials are preferred

Working Conditions:
  • General office environment; may be required to sit or stand for extended periods of time
  • Occasional travel may be required to meet with stakeholders and development teams

Compensation Range:
$94,100.00 - $164,800.00
CareSource takes into consideration a combination of a candidate's education, training, and experience as well as the position's scope and complexity, the discretion and latitude required for the role, and other external and internal data when establishing a salary level. In addition to base compensation, you may qualify for a bonus tied to company and individual performance. We are highly invested in every employee's total well-being and offer a substantial and comprehensive total rewards package.
Compensation Type (hourly/salary):
Salary
Organization Level Competencies
  • Fostering a Collaborative Workplace Culture
  • Cultivate Partnerships
  • Develop Self and Others
  • Drive Execution
  • Influence Others
  • Pursue Personal Excellence
  • Understand the Business

This job description is not all inclusive. CareSource reserves the right to amend this job description at any time. CareSource is an Equal Opportunity Employer. We are dedicated to fostering an environment of belonging that welcomes and supports individuals of all backgrounds.
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