Staff Software Architect

We are looking for a Staff Software Architect to serve as a technical leader within the Clinical Insights Engine team at CVS Health. Required Qualifications 8+ years of experience in software or data architecture, platform engineering, or a closely related field5+ years of experience designing enterprise-scale cloud systems in GCP and/or Azure in a production healthcare or regulated industry environmentDeep expertise in cloud-native services relevant to CIE's stack: BigQuery, Dataflow, Vertex AI, Cloud Run, GKE, Pub/Sub, Cloud Storage, or Azure equivalentsDemonstrated experience architecting clinical AI/ML platforms - including feature stores, model serving infrastructure, MLOps tooling, and LLM integration patterns applied to healthcare dataStrong command of distributed systems design: event streaming, asynchronous processing, API gateway patterns, service mesh, and fault-tolerant pipeline architectureExperience defining and executing multi-year platform roadmaps across large, multi-squad engineering programsProven ability to influence and align senior technical and business stakeholders across portfolio and product boundaries without direct authorityDeep familiarity with clinical and healthcare data domains: clinical notes, EHR data, claims, pharmacy, member, and provider dataStrong understanding of HIPAA, PHI handling requirements, clinical data privacy regulations, and enterprise security frameworksExperience working in SAFe Agile, program increment planning, and large-scale Agile delivery Preferred Qualifications Google Cloud Professional Architect, GCP Data Engineer, or Azure Solutions Architect certificationHands-on experience with LLM-based clinical document processing, RAG architectures, OCR pipelines, or clinical NLP - directly applicable to CIE's patient fact extraction and potential conditions workflowsExperience designing and operating production ML platforms at scale using Vertex AI Pipelines, Kubeflow, MLflow, or equivalentFamiliarity with data mesh principles, domain-oriented data ownership, and federated governance - directly relevant to CIE's multi-portfolio operating modelBackground in real-time ML serving, A/B testing infrastructure, and model monitoring and drift detection in clinical AI contextsPrior experience in health plan, healthcare delivery, or clinical operations environments; familiarity with clinical workflows and value-based care programs is a strong plusPublished thought leadership, conference presentations, or patents in AI/ML systems, clinical NLP, or healthcare data architecture The typical pay range for this role is: This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. Our people fuel our future.

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