AI Engineer III

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