Principal Engineer, Clinical Data and AI Platforms

This is a fully remote position, open to applicants in California, +12 more states.

📋 Description

• Design the architecture of the platform on Google Cloud while providing engineering leadership.

• Address data acquisition, identity resolution, FHIR harmonization, data products, LLM and rules engines, as well as customer-facing products.

• Create systems that can rapidly evolve and guide their development over time.

• Assess trade-offs related to isolation, data rights, scalability, reliability, and cost, and propose viable options.

• Develop production code for critical and intricate platform components.

• Transform prototypes into reference implementations for team adoption.

• Lead practices for utilizing AI coding agents, including specifications, guardrails, code review, evaluation, and human oversight.

• Conduct pilot programs with engineering teams, evaluate delivery speed and quality impacts, and suggest broader adoption.

• Maintain architecture, diagrams, and documentation as code.

• Design AI-assisted operations for incident triage, runbook automation, and capacity and cost management.

• Establish approval gates, least-privilege access, and audit trails for actions taken by AI agents.

• Suggest service-level objectives and observability metrics to measure the impact of automation.

• Design enterprise control compliance, including change management, separation of duties, access reviews, data lineage, and governance of models and prompts.

• Automate the collection of audit evidence in collaboration with security, privacy, compliance, and AI governance teams.

• Clarify complex systems to engineers, product leaders, executives, and customers through writing and diagrams.

• Develop technical business cases and present them to senior leadership.

⛳️ Requirements

• Over 12 years of experience in building production distributed systems.

• More than 5 years of experience leading architecture across multiple teams at the staff or principal level.

• Proven experience in designing and delivering large-scale batch and streaming data platforms.

• Current, hands-on coding skills in Python and either Go, Java, or C#.

• Extensive experience with cloud platforms, preferably Google Cloud, including GKE, BigQuery, Spanner, Dataflow, Pub/Sub, Vertex AI, and VPC Service Controls.

• Practical experience with machine learning or large language model systems, including retrieval, extraction, evaluation, and serving at scale.

• Significant use of AI agents throughout design, development, testing, and code review phases, demonstrating measurable impacts on delivery.

• Experience in regulated environments, including the design of controls and support systems during audits.

• Excellent written communication and diagramming capabilities.

• Prior experience presenting information to senior executives.

• Bachelor’s degree in computer science, engineering, or a related technical field, or equivalent experience.

• Familiarity with healthcare data standards, including FHIR, HL7v2, C-CDA, X12 claims, OMOP, and CQL.

• Experience with national health information exchanges through TEFCA and QHINs.

• Knowledge of master patient index and identity resolution at a population scale.

• Experience in payer or provider domains.

• Background in security architecture, including zero trust, attribute- and relationship-based access control, and threat modeling.

• Experience in guiding teams to adopt AI-assisted development practices.

• Public technical contributions, such as open-source projects, conference presentations, or published writings.

🏝️ Benefits

• CVS Health bonus, commission, or short-term incentive program.

• Target award in the company’s equity award program.

• Medical coverage.

• Dental coverage.

• Vision coverage.

• Paid time off.

• Retirement savings options.

• Wellness programs.

• Additional resources supporting physical, emotional, and financial well-being.