Are you passionate about building real-world AI that improves lives? In this role, you’ll collaborate directly with clinicians, operational SME's, clinical researchers and IT peers to design and deploy machine learning solutions that improve operational efficiencies in healthcare administrative areas and advance clinical care helping shape the future of patient care. A background in healthcare is highly desirable, as you’ll help translate clinical challenges into AI-powered solutions. You’ll work on production-grade ML systems, explore emerging technologies like agentic AI and AR/VR, and build clinical decision support tools that can have a real impact on patient outcomes. If you’re a senior engineer who thrives at the intersection of engineering, research, and medicine — we’d love to meet you.
The AI Engineer III role is responsible for advanced analytics applying statistical, mathematical, and computational models to diverse datasets to solve clinical and business problems and identify breakthrough opportunities. This position is responsible for performing sophisticated data analytics by designing, developing, and deploying quantitative models and other analytics tools.
Working with a multi-disciplinary team of Data Engineers, Data Architects, BI Developer and operational SME’s across VCU Health, the AI Engineer III will work on complex business problems and provide actionable insights with the overarching goal of improving clinical and financial outcomes.
Essential Job Statements
Develop predictive models and machine learning algorithms that clinicians and staff will use to improve patient care, healthcare operations and financial performance.
Develop and deploy LLM based Agentic AI and automation solutions using RAG or fine-tuning foundation models.
Design, develop, and maintain robust and scalable ML pipelines, encompassing data ingestion, feature engineering, model training, deployment, and monitoring.
Stay abreast of the latest advancements in AI and Machine Learning technologies to ensure VCU Health is in the forefront of AI innovation.
Conduct rigorous model evaluation, including performance testing and bias assessment, to ensure the ethical and reliable deployment of AI systems.
Mentor and guide junior members of the team sharing expertise in AI/ML techniques, model development, and deployment best practices.
Design and implement RESTful APIs to integrate ML models or GenAI solutions with other applications and systems within the organization.
Patient Population: N/A
Employment Qualifications
Required Education: Bachelor’s Degree in Business, IT, Math, Data Analytics, Engineering, or related discipline
Preferred Education: Master’s degree in Business, IT, Math, Data Analytics, Engineering or related discipline
Licensing/ Certification
Licensure/Certification Required: N/A
Licensure/Certification Preferred: N/A
Minimum Qualifications
Years and Type of Required Experience: 8+ years’ experience in Machine Learning/Artificial Intelligence tools and technologies required. 5+ years’ experience in Python or R and SQL required. 2+ years of experience as a Full Stack Machine Learning Engineer or similar role required. 2+ years’ experience in healthcare environment preferred.
Other Knowledge, Skills and Abilities Required: Experience working with unstructured data, NLP technologies and big data is required. Experience working with one of the opensource ML libraries/frameworks -PyTorch/TensorFlow/Keras/Numpy required. Experience with Foundation models, Prompt Engineering, fine-tuning or RAG required. Knowledge of Data Management, Data Warehousing, Data Engineering and Data Governance concepts preferred. Experience working with Cloud technologies such as AWS/Azure/GCP required.
Other Knowledge, Skills and Abilities Preferred: Displays intellectual curiosity and integrity. Experience in healthcare environment.
Combination of education and experience in lieu of a degree.
Working Conditions: N/A
Physical Requirements
Physical Demands: N/A
Work Position: Sitting
Additional Physical Requirements/ Hazards
Physical Requirements: N/A
Hazards: N/A
Mental/Sensory – Emotional
Mental/Sensory: Strong Recall, Reasoning, Problem Solving, Hearing, Speak Clearly, Write Legibly, Reading, Logical Thinking
Emotional: Fast pace environment, Able to Handle Multiple Priorities, Frequent and Intense Customer Interactions, Able to Adapt to Frequent Change
EEO Employer/Disabled/Protected Veteran/41 CFR 60-1.4.
Top Skills
Similar Jobs
What you need to know about the Los Angeles Tech Scene
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
