Enterprise Cloud Architect for Clinical AI Platform

CVS Health; Austin (TX); On-site; USD 107,000 - 261,000; Full time

Job summary

CVS Health is seeking a Staff Software Architect to lead the Clinical Insights Engine platform architecture across GCP and Azure, driving strategy, governance, and scalable ML/AI pipelines for enterprise healthcare analytics.

You will mentor engineers, set standards, and ensure HIPAA compliance while aligning technical decisions with business outcomes across multiple squads and product teams.

Qualifications

• 8+ years of experience in software or data architecture, platform engineering, or a closely related field.
• 5+ years of experience designing enterprise-scale cloud systems in GCP and/or Azure in a production healthcare or regulated industry environment.
• Deep expertise in cloud-native services relevant to CIE's stack: BigQuery, Dataflow, Vertex AI, Cloud Run, GKE, Pub/Sub, Cloud Storage, or Azure equivalents.
• Demonstrated experience architecting clinical AI/ML platforms — including feature stores, model serving infrastructure, MLOps tooling, and LLM integration patterns applied to healthcare data.
• Strong command of distributed systems design: event streaming, asynchronous processing, API gateway patterns, service mesh, and fault-tolerant pipeline architecture.
• Experience defining and executing multi-year platform roadmaps across large, multi-squad engineering programs.
• Proven ability to influence and align senior technical and business stakeholders across portfolio and product boundaries without direct authority.
• Deep familiarity with clinical and healthcare data domains: clinical notes, EHR data, claims, pharmacy, member, and provider data.
• Strong understanding of HIPAA, PHI handling requirements, clinical data privacy regulations, and enterprise security frameworks.
• Experience working in SAFe Agile, program increment planning, and large-scale Agile delivery.

Responsibilities

• Drive the end-to-end software architecture vision and roadmap for the Clinical Insights Engine platform across GCP and Azure environments.
• Serve as technical authority for system design and architecture decisions, providing guidance and governance across multiple engineering squads and product teams.
• Lead the design of highly scalable, fault-tolerant, and cost-optimized platforms supporting clinical AI/ML workloads — including LLM inference pipelines, document processing at scale, and real-time clinical data services.
• Define and govern ML architecture patterns — including feature stores, model registries, model serving infrastructure, experiment tracking, and MLOps pipelines — ensuring reproducibility, observability, and production-grade reliability.
• Lead architecture for LLM-integrated systems including prompt engineering frameworks, retrieval-augmented generation (RAG) pipelines, embedding stores, and clinical NLP processing.
• Define CIE-wide engineering standards, reference architectures, and platform patterns that promote consistency, reuse, and velocity across squads.
• Define enterprise software standards, architecture patterns, and reference architectures adopted across HCD and the broader CVS Health engineering community.
• Partner with CIE portfolio leads, product managers, and clinical stakeholders to align technical architecture with clinical program outcomes and business strategy.
• Represent CIE in enterprise architecture forums, HCD data governance councils, and cross-functional technical leadership groups within CVS Health.
• Champion engineering best practices across CIE squads: event-driven design, API-first development, data quality at source, and self-service platform patterns.
• Identify and proactively address architectural risk, technical debt, and data quality issues across CIE's clinical data platform.
• Mentor senior engineers and architects across CIE squads; build a culture of technical rigor, curiosity, and innovation.
• Ensure all CIE systems meet HIPAA compliance, enterprise security standards, and clinical data governance requirements.

Skills

Architectural vision

Leadership

Cross-functional collaboration

SAFe Agile

Cloud design

Education

Bachelor's degree in CS/Software/IS

Master's degree in CS/ML or related field

Tools

BigQuery

Dataflow

Vertex AI

GKE

Pub/Sub

Cloud Run

Job description

CVS Health is seeking a Staff Software Architect to lead the Clinical Insights Engine platform architecture across GCP and Azure, driving strategy, governance, and scalable ML/AI pipelines for enterprise healthcare analytics.

You will mentor engineers, set standards, and ensure HIPAA compliance while aligning technical decisions with business outcomes across multiple squads and product teams.