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.
Skills Required
- 8+ years' experience in Machine Learning/Artificial Intelligence tools and technologies
- 5+ years' experience in Python or R and SQL
- 2+ years' experience as a Full Stack Machine Learning Engineer or similar role
- Experience working with unstructured data, NLP technologies and big data
- Experience with one of the opensource ML libraries/frameworks - PyTorch/TensorFlow/Keras/Numpy
- Experience with Foundation models, Prompt Engineering, fine-tuning or RAG
- Experience working with Cloud technologies such as AWS/Azure/GCP
VCU Health Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about VCU Health and has not been reviewed or approved by VCU Health.
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Healthcare Strength — Health coverage options are broad, with multiple medical plans (including ChoiceCARE PPO with three networks) and dental choices covering preventive, basic, and major services alongside prescription benefits. Feedback suggests these offerings are frequently characterized as great or good and include enhancements like domestic partner and fertility coverage.
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Retirement Support — Retirement programs feature a 401(a) with a dollar-for-dollar employer match up to 2% and additional age/service-based contributions, plus access to a 457(b) savings plan. These elements provide meaningful long-term financial support.
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Parental & Family Support — Family-oriented benefits include adoption assistance, back-up child and adult care, tuition assistance for dependents, and maternity support within a wider benefits suite. Feedback suggests these supports complement healthcare and PTO to create a family-friendly package.
VCU Health Insights
What We Do
We are a strong, passionate team of more than 12,500 who take pride in caring for every person who comes through our doors. We lift each other up so we can provide the very best and safest care to those who need us most. Together. Every day. With the support of our university, we make up an academic medical center committed to excellence in patient care, innovation and training tomorrow’s health care workforce. We continue to educate, research and evolve – staying on the cutting edge of care. As a community of innovators, every team member can contribute a spark of ingenuity igniting a force to discover the next cure, hold the next hand, solve the greatest challenges and create the health care of tomorrow. We foster an atmosphere of respect and welcoming for all communities. We infuse our teams with diverse talent that inspires everyone to contribute openly and freely, maximizing their impact and creating meaningful change for our patients and community. Join our team and help us create a new kind of patient experience. Join VCU Health. EEO Statement: VCU Health System strictly prohibits and does not tolerate discrimination against, or harassment of, team members, applicants, or any other covered persons because of age, race, ethnicity, religion, culture, language, physical or mental disability, socioeconomic status, sex (sexual orientation, gender identity or expression and pregnancy), protected veteran status, marital status, genetic information, or any other protected characteristics under applicable federal, state, or local law. Pay Transparency Provisions: VCU Health System complies with the Pay Transparency Provisions
