Staff Software Architect
$106,605 per year
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Posted today
SENIORITY
Lead
SALARY
$106,605 per year
About the role
- 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
- 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
- EducationBachelor'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
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