CareerPlan

Principal Engineer, Clinical Data and AI Platforms

Work At Home-Connecticut, USFull-time$144k–$288k2026-11-04 → 2026-11-11
Based in United States

Core

Design and build a Google Cloud platform that transforms clinical, claims, and document data into insights for patients, providers, and payers using AI agents.

Role type

Principal Engineer (AI Platforms & Data Infrastructure)

Builds

Data acquisition, identity resolution, FHIR harmonization, data products, LLM and rules engines, and customer-facing products.

Domain

Healthcare / Health Insurance / Cloud Infrastructure

Deliverable

production ML models

Required skills

Distributed systems architecture, Python, Go/Java/C#, Google Cloud (GKE, BigQuery, Spanner, Dataflow, Pub/Sub, Vertex AI), Machine Learning, Large Language Models, AI agents, Regulated environment compliance

Preferred skills

Healthcare data standards (FHIR, HL7, C-CDA, X12, OMOP), Master Patient Index, Payer/Provider domain knowledge, Security architecture, AI-assisted development practices

Technologies

Google Cloud Platform, GKE, BigQuery, Spanner, Dataflow, Pub/Sub, Vertex AI, VPC Service Controls, Python, Go, Java, C#

Responsibilities

Design platform architecture on Google Cloud; Write production code for critical components; Lead development of AI coding agent practices; Design AI-assisted operations for incident triage and automation; Design for enterprise control conformance and automate audit evidence collection; Explain complex systems to executives and customers.

Seniority

Principal, hands-on IC with leadership