Length of Contract: 1 Year with possibility of extension
Key Responsibilities
1: AI & Machine Learning Data Support
• Feature Engineering: Collaborate with AI Engineers to identify, extract, and transform clinical & non-clinical variables (features) from Epic and other systems into formats ready for machine learning.
• Vector Database Management: Support the implementation of Vector stores within Microsoft Fabric to enable Retrieval-Augmented Generation (RAG) for clinical & non-clinical LLMs.
• Real-time AI Triggers: Configure Rhapsody / BizTalk to trigger AI model scoring based on specific HL7 events.
• Model Monitoring Data: Build pipelines to capture AI model outputs and feed them back into clinical & non-clinical workflows or monitoring dashboards for performance tracking.
2 : Advanced Integration
• High-Velocity Streams: Develop and maintain real-time interfaces via Rhapsody and BizTalk that handle high-volume telemetry and data for real-time AI monitoring.
• Standardization for AI: Map diverse legacy data formats to standardized formats to ensure AI models receive clean and interoperable data.
3: Data Engineering & Fabric Ecosystem
• Fabric Lakehouse Design: Build and optimize in Microsoft Fabric specifically optimized for AI training and historical analysis.
• Epic Clarity Data Mining: Perform advanced data extraction from Clarity to build longitudinal patient records used for retrospective AI model validation.
• Pipeline Automation: Use Fabric Data Factory to automate the refreshing of AI training sets, ensuring models do not suffer from data drift.
