Principal AI Engineer

Overview As a Principal AI Engineer at MRO, you will own the technical vision and implementation of AI capabilities that power our healthcare software products. You will design and build production AI systems — RAG pipelines, LLM integrations, human-in-the-loop workflows, and model quality frameworks — while setting the engineering standards other teams build against. This is a hands-on technical leadership role. You will work closely with architecture, product, data engineering, and engineering teams to translate complex healthcare workflows into scalable, accurate, and compliant AI solutions. You bring deep AI/ML engineering experience, know how HIPAA applies to the systems you build, and have owned AI product quality end-to-end — not just contributed to it. Responsibilities Prodigy Product AI Vision & Technical Ownership Own the end-to-end technical vision for MRO Prodigy's AI layer — a production system that uses RAG, generative AI, and structured data reasoning to automate answers to Healthcare Registry questionnaires. Define the AI roadmap for Prodigy, balancing near-term customer commitments against foundational capability investments that scale the product to enterprise maturity. Evaluate and make build/buy/integrate decisions for AI capabilities — foundation model selection, embedding strategies, retrieval architectures, and orchestration frameworks — and own the consequences of those decisions. Serve as the technical authority on all AI design decisions for Prodigy; produce architecture decision records, set standards, and ensure the architecture is defensible, auditable, and extensible. AI/ML Solution Architecture & Implementation Architect and evolve Prodigy's multi-modal retrieval pipeline, combining unstructured clinical document ingestion with structured EHR/FHIR data to surface accurate, citation-backed answers to registry questionnaire items. Design and refine the answer generation layer — prompt engineering, context construction, grounding strategi