Staff Software Architect
$106,605–$260,590 year
Remote · Texas, United States or Illinois, United States
Job Summary
Senior Staff Software Architect for CVS Health's Clinical Insights Engine team; defines the long-term software and systems architecture for the Clinical Insights Engine platform across GCP and Azure, driving cross-functional alignment on engineering strategy and leading the design of scalable, fault-tolerant platforms that power clinical AI/ML workloads, including LLM inference pipelines, feature stores, model serving infrastructure, and MLOps with emphasis on reproducibility, observability, and production-grade reliability. Leads architecture decisions across multiple squads and product verticals, mentors senior engineers, and ensures HIPAA compliance and enterprise security while aligning technical architecture with clinical program outcomes and business strategy. Responsible for establishing CIE-wide engineering standards, reference architectures, and platform patterns, and representing CIE in enterprise architecture forums.
Required 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
- Education Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related field required
- Master's degree in Computer Science, Machine Learning, or equivalent advanced technical experience strongly preferred
- Google Cloud Professional Architect, GCP Data Engineer, or Azure Solutions Architect certification (preferred)
- Hands-on experience with LLM-based clinical document processing, RAG architectures, OCR pipelines, or clinical NLP (preferred)
- Experience designing and operating production ML platforms at scale using Vertex AI Pipelines, Kubeflow, MLflow, or equivalent (preferred)
- Familiarity with data mesh principles, domain-oriented data ownership, and federated governance (preferred)
- Background in health plan, healthcare delivery, or clinical operations environments (preferred)
- Published thought leadership, conference presentations, or patents in AI/ML systems, clinical NLP, or healthcare data architecture (preferred)
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