AI SPECIALIST
Listed on 2025-12-31
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IT/Tech
AI Engineer, Data Analyst
Join to apply for the AI SPECIALIST role at Covenant Health
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AI Specialist, IT Care Management Support. Full Time, 80 Hours Per Pay Period, Day shift.
Covenant Health OverviewCovenant Health is the region’s top-performing healthcare network with 10 hospitals, outpatient and specialty services, and Covenant Medical Group, our area’s fastest-growing physician practice division. Headquartered in Knoxville, Covenant Health is a community-owned integrated healthcare delivery system and the area’s largest employer. Our more than 11,000 employees, volunteers, and 1,500 affiliated physicians are dedicated to improving the quality of life for the more than two million patients and families we serve every year.
Covenant Health is the only healthcare system in East Tennessee to be named a Forbes “Best Employer” seven times.
Under general direction, the AI Specialist serves as a technical and strategic contributor in the development, integration, and evaluation of data analytics and artificial intelligence initiatives within the Covenant Health system. This role focuses on identifying opportunities for AI integration, developing proof‑of‑concept models, and ensuring alignment with clinical and operational goals that enhance clinical workflows, operational efficiency, and patient outcomes through data analytics and modeling.
The AI Specialist collaborates with cross‑functional teams to ensure AI solutions are ethical, secure, and aligned with organizational goals.
This position is looking to expand on Covenant Health’s growing AI analytics opportunities through large language models (LLMs) and AI agents. Some experience working with AI analytics and data modeling with a background in Python and other coding models is preferred. The role will also require minor rotational on‑call after‑hours and day shift coverage for help desk tickets, dealing with various issues and needs from end users for all of Covenant Health’s data reporting needs.
RecruiterSuzie Mcguinn |
Responsibilities- Analyze, design, and implement AI models for healthcare applications such as predictive analytics, ambient listening, and clinical decision support and business process optimization.
- Develop and test machine learning models and algorithms tailored to healthcare and business applications such as predictive analytics, natural language processing, and image recognition.
- Collaborate with clinicians, IT, and business stakeholders to identify use‑cases and data sources for AI solutions.
- Develop and maintain AI pipelines, including data preprocessing, model training, validation, and deployment.
- Ensure compliance with healthcare regulations, data privacy standards, and ethical guidelines in AI development and deployment activities.
- Evaluate feasibility and impact of proposed AI solutions on clinical workflows, business processes, and patient outcomes.
- Prepare documentation including AI workflows, model specifications, validation reports, and user guides.
- Participate in the design and maintenance of AI‑related datasets and infrastructure, ensuring data integrity and security.
- Provide technical guidance and training to staff on AI tools, concepts and best practices.
- Monitor and optimize deployed AI models for performance accuracy and recommend updates or retraining as needed.
- Stay current with advancements in AI, machine learning, business analytics, and healthcare informatics.
- Evaluate vendor proposals for AI tools and services, ensuring alignment with technical, regulatory, and organizational standards.
- Contribute to strategic planning for AI integration across clinical, operational, and administrative domains.
- Communicate complex technical concepts to diverse stakeholders to facilitate understanding and adoption of AI solutions.
- Follow policies, procedures, and safety standards. Complete required education assignments annually. Work toward achieving goals and objectives, and participate in quality improvement initiatives as requested.
- Perform other duties as assigned.
Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Equivalent experience with specialized AI training may be considered.
Minimum ExperienceMinimum of three (3) years’ experience in AI or machine learning development.
Licensure RequirementNone.
Seniority levelMid‑Senior level
Employment typeFull‑time
Job functionOther
IndustriesHospitals and Health Care
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