We are looking for a Staff Software Architect to serve as a technical leader within the Clinical Insights Engine team at CVS Health. This is a senior individual contributor role with enterprise-wide influence. You will define the long-term software and systems architecture vision for the Clinical Insights Engine platform, drive cross-functional alignment on engineering strategy, and lead the design of mission-critical systems that power clinical AI models, ML inference pipelines, enterprise reporting, and large-scale healthcare analytics. You will operate as a thought leader and trusted authority — setting direction for architecture decisions across multiple engineering squads, ML teams, and product verticals. 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 ML - Ops 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 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: Big. Query, 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, ML - Ops 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. Preferred Qualifications. Google Cloud Professional Architect, GCP Data Engineer, or Azure Solutions Architect certification. Hands-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 workflows. Experience designing and operating production ML platforms at scale using Vertex AI Pipelines, Kubeflow, M - Lflow, or equivalent. Familiarity with data mesh principles, domain-oriented data ownership, and federated governance — directly relevant to CIE's multi-portfolio operating model. Background in real-time ML serving, A/ B testing infrastructure, and model monitoring and drift detection in clinical AI contexts. Prior experience in health plan, healthcare delivery, or clinical operations environments; familiarity with clinical workflows and value-based care programs is a strong plus. Published thought leadership, conference presentations, or patents in AI/ ML systems, clinical NLP, or healthcare data architecture 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 Pay Range. The typical pay range for this role is:$106,605.00 - $260,590.00