Principal Engineer, Clinical Data and AI Platforms

This is a fully remote position, open to applicants in Connecticut.

📋 Description

• Architect the platform on Google Cloud, collaborating with engineering leadership in areas such as data acquisition, identity resolution, FHIR harmonization, data products, LLM, rules engines, and customer-facing solutions.

• Create systems that can adapt swiftly and guide their evolution over time.

• Assess trade-offs regarding isolation, data rights, scalability, reliability, and costs, providing recommendations.

• Develop production code for the platform's most essential and intricate components.

• Convert prototypes into reference implementations for team integration.

• Establish best practices for AI coding agents, encompassing specifications, guardrails, code reviews, evaluations, and human oversight.

• Conduct pilots with engineering teams, evaluate delivery speed and quality, and suggest broader implementation.

• Keep architecture, diagrams, and documentation up to date as code.

• Design AI-assisted operations for incident triage, runbook automation, and managing capacity and costs.

• Create approval gates, enforce least-privilege access for AI agents, and maintain audit trails of agent activities.

• Recommend service-level objectives and observability metrics to assess automation impact.

• Develop enterprise controls, 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 written documentation and diagrams.

• Assist in developing technical business cases and present them to senior leadership.

⛳️ Requirements

• Over 12 years of experience in building production-grade 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.

• Up-to-date, hands-on coding proficiency in Python and either Go, Java, or C#.

• Extensive expertise 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, covering retrieval, extraction, evaluation, and serving at scale.

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

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

• Excellent written communication and diagramming abilities.

• Experience delivering presentations to senior executives.

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

• Preferred: Knowledge of healthcare data standards such as FHIR, HL7v2, C-CDA, X12 claims, OMOP, and CQL; TEFCA and QHINs.

• Preferred: Experience with master patient index and identity resolution at a population scale.

• Preferred: Familiarity with payer or provider domains.

• Preferred: Knowledge of security architecture, zero trust principles, attribute- and relationship-based access control, and threat modeling.

• Preferred: Leading teams in adopting AI-assisted development practices.

• Preferred: Contributions to public technical work, such as open-source projects, conference presentations, or published articles.

🏝️ Benefits

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

• Equity award program with an award target.

• Comprehensive medical coverage.

• Dental insurance.

• Vision insurance.

• Paid time off.

• Retirement savings options.

• Wellness programs.

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