Principal Engineer, Clinical Data and AI Platforms

CVS Health Careers

. Design the platform architecture on Google Cloud with engineering leadership across data acquisition, identity resolution, FHIR harmonization, data products, LLM and rules engines, and customer-facing products .

Posted 11/4/2026full-timeRemote • Connecticut • United StatesLead💰 $144,200 - $288,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and leading architecture for large-scale distributed systems on Google Cloud, with a strong focus on AI-assisted development practices and compliance in regulated environments. Proficient in Python and cloud technologies, with a proven ability to communicate complex systems effectively to diverse stakeholders.

Highest-signal resume keywords

Google Cloud ArchitectureProduction Distributed SystemsPython Coding ExperienceMachine Learning SystemsAI Agent Implementation

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Hard Skills

Production Code DevelopmentBatch and Streaming Data PlatformsSystem Design and EvolutionData Acquisition and Identity ResolutionAI Coding Agents PracticesChange Management ControlsAudit Evidence AutomationData Lineage DesignObservability and Service-Level ObjectivesTechnical Business Case Development

Soft Skills

Strong Written CommunicationDiagramming SkillsPresentation Skills

Tools & Technologies

GKEBigQuerySpannerDataflowPub/SubVertex AIVPC Service Controls

Industry Keywords

FHIRHL7v2C-CDAX12 ClaimsOMOPCQLTEFCAQHINsSecurity ArchitectureZero Trust

Tech Stack

Tools & technologies

BigQueryCloudDistributed SystemsJavaPythonGo

About the role

Key responsibilities & impact

Design the platform architecture on Google Cloud with engineering leadership across data acquisition, identity resolution, FHIR harmonization, data products, LLM and rules engines, and customer-facing products
Design systems to evolve quickly and lead their evolution over time
Evaluate trade-offs in isolation, data rights, scale, reliability and cost, and recommend options
Write production code for the platform's most critical and complex components
Turn prototypes into reference implementations for team adoption
Lead practices for AI coding agents, including specifications, guardrails, code review, evaluation and human oversight
Run pilots with engineering teams, measure delivery speed and quality, and recommend wider adoption
Maintain architecture, diagrams and documentation as code
Design AI-assisted operations for incident triage, runbook automation, and capacity and cost management
Build approval gates, least-privilege access for AI agents, and audit trails of agent actions
Propose service-level objectives and observability for measuring automation impact
Design enterprise controls including change management, separation of duties, access reviews, data lineage, and model and prompt governance
Automate audit evidence collection with security, privacy, compliance and AI governance teams
Explain complex systems to engineers, product leaders, executives and customers through writing and diagrams
Help develop technical business cases and present them to senior leadership

Requirements

What you’ll need

12+ years of experience building production distributed systems
5+ years leading architecture across multiple teams at the staff or principal level
Experience designing and delivering large-scale batch and streaming data platforms
Current, hands-on coding experience in Python and either Go, Java, or C#
Deep experience with cloud platforms, preferably Google Cloud, including GKE, BigQuery, Spanner, Dataflow, Pub/Sub, Vertex AI and VPC Service Controls
Production experience with machine learning or large language model systems, including retrieval, extraction, evaluation and serving at scale
Extensive use of AI agents across design, development, testing and code review work, with measurable impact on delivery
Experience in a regulated environment, including designing controls and supporting systems through audits
Strong written communication and diagramming skills
Experience presenting to senior executives
Bachelor's degree in computer science, engineering or a related technical field, or equivalent experience
Preferred: healthcare data standards including FHIR, HL7v2, C-CDA, X12 claims, OMOP and CQL; TEFCA and QHINs
Preferred: master patient index and identity resolution at population scale
Preferred: payer or provider domain experience
Preferred: security architecture, zero trust, attribute- and relationship-based access control, and threat modeling
Preferred: leading teams' adoption of AI-assisted development practices
Preferred: public technical work such as open-source contributions, conference talks or published writing

Benefits

Comp & perks

CVS Health bonus, commission or short-term incentive program
Award target in the company’s equity award program
Medical coverage
Dental coverage
Vision coverage
Paid time off
Retirement savings options
Wellness programs
Other resources supporting physical, emotional, and financial well-being