Software Architect, AI Engineer (Applied​/Software)

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.

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.

• 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

• 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, 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…