Principal Engineer, Clinical Data and AI Platforms

Role overview

Design and build a cloud platform that turns clinical, claims, and document data into useful insights for patients, providers, and payers. This principal-level engineering role combines hands-on development with architecture leadership across data acquisition, identity resolution, healthcare data harmonization, data products, and AI systems. It also guides responsible use of AI agents in engineering and platform operations within a regulated environment.

Responsibilities

- Shape platform architecture with engineering leaders and guide its evolution as needs change, balancing data rights, isolation, scale, reliability, and cost. - Write production code for critical components and turn prototypes into reference implementations for other teams. - Establish practices for AI coding agents, including specifications, guardrails, reviews, evaluation, human oversight, and measured pilots. - Design AI-assisted operational workflows for incident triage, runbooks, capacity, and cost, with approval gates, least-privilege access, and audit trails. - Define service-level objectives and observability, and build in controls for access, change management, data lineage, and model governance. - Maintain architecture documentation and diagrams as code; communicate designs and business cases to technical teams and senior leaders.

Requirements

- 12+ years building production distributed systems and 5+ years leading architecture across multiple teams at staff or principal level. - Experience delivering large-scale batch and streaming data platforms; current hands-on Python coding plus Go, Java, or C#. - Deep cloud experience, preferably Google Cloud, including services such as GKE, BigQuery, Spanner, Dataflow, Pub/Sub, Vertex AI, and VPC Service Controls. - Production experience with machine learning or large language model systems, plus substantial use of AI agents in design, development, testing, or review. - Experience in regulated environments, including control design and audit support; strong written communication and diagramming skills. - Bachelor's degree in computer science, engineering, or a related field, or equivalent experience.

Nice to have

- Healthcare standards experience such as FHIR, HL7v2, C-CDA, X12, OMOP, or CQL; familiarity with TEFCA or QHINs. - Experience with population-scale identity resolution, payer or provider operations, security architecture, or leading AI-assisted engineering adoption.

Benefits and work setup

- Full-time position with medical, dental, and vision coverage, paid time off, retirement savings, wellness programs, and potential bonus and equity awards, subject to eligibility. Listed base pay range is $144,200–$288,400.