Principal AI Engineer

Technical Vision & Ownership:

• Define the AI roadmap for the Prodigy product, balancing near-term commitments with foundational investments.
• Make build/buy/integrate decisions for AI capabilities and set engineering standards.

AI Solution Architecture:

• Design multi-modal retrieval pipelines combining unstructured clinical data with structured EHR/FHIR data.
• Build answer generation layer with prompt engineering, grounding, and confidence scoring.

Human-in-the-Loop & Quality:

• Run feedback loops with end users to turn usage signals into prioritized improvements.
• Define evals frameworks for accuracy, regression detection, and hallucination guardrails.

Cloud & Data Architecture:

• Architect AI infrastructure across GCP and AWS, ensuring scalability, cost-efficiency, and HIPAA compliance.
• Collaborate with data engineering to maintain high-quality data inputs.