Senior Principal AI/ML Engineer - Research Sovereign AI

Mayo Career Site USRochester, MN
12h

About The Position

The Senior Principal AI/ML Engineer for AI Representation & EMR Vectorization is the senior technical leader and lead scientist responsible for architecting Mayo Clinic’s unified multimodal EMR representation layer. This role defines and builds the scientific substrate used by foundational models, clinical agents, and research applications. The individual serves as a hands-on expert and player-coach, guiding technical strategy while contributing directly to model development, graph construction, and representation science. Over time, this position will build and lead a specialized team.

Responsibilities

  • Design and implement Mayo’s multimodal EMR representation AI architecture, including text, imaging, waveform, structured data, temporal sequences, and multi-visit trajectories.
  • Develop graph-based representations and knowledge graphs linking patients, events, attributes, clinical concepts, and embeddings.
  • Integrate graph reasoning, vector similarity search, and hybrid vector–graph pipelines for retrieval-augmented models and agentic reasoning.
  • Define standards for temporal modeling, drift-aware embeddings, and sequence alignment across encounters.
  • Build large-scale embedding pipelines using transformer-based models, contrastive learning, graph neural networks, and hybrid architectures.
  • Implement efficient query layers using vector stores and graph databases.
  • Develop interpretable embedding diagnostics, attribution tools, and graph-based audits to enable safe clinical use.
  • Explore and implement methods for explaining similarity, graph traversals, temporal evolution, and patient-neighborhood reasoning.
  • Work with AI researchers on specialty-specific embeddings, representation refinement, and research prototypes.
  • Collaborate with clinicians to operationalize clinically meaningful features, phenotypes, and longitudinal concepts.
  • Provide scientific input to the Foundational Model Science Program to ensure alignment between representations and model architectures.
  • Serve as founding technical lead of the Reasoning EMR Representation team.
  • Mentor junior scientists and engineers; build a future team specializing in representation learning and graph-based reasoning.

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What This Job Offers

Job Type

Full-time

Career Level

Senior

Education Level

No Education Listed

Number of Employees

5,001-10,000 employees

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