Staff Software Architect

CVS Health•Work At Home-Massachusetts, MA

5d•$106,605 - $260,590

About The Position

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.

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: 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

Nice To Haves

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, MLflow, 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

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