Senior Cloud Architect - Healthcare AI Platform

CVS Health

Trenton (NJ)

On-site

USD 107,000 - 261,000

Full time

2 days ago
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Job summary

CVS Health is seeking a Staff Software Architect to lead the Clinical Insights Engine platform. You will shape the long-term software and systems architecture, drive cross-functional alignment, and design mission-critical systems powering clinical AI, ML inference pipelines, and large-scale healthcare analytics.

You will mentor engineers, influence senior stakeholders, ensure HIPAA compliance, and promote best practices across multiple squads and product teams in an enterprise-wide capacity.

Qualifications

  • 8+ years of experience in software or data architecture
  • 5+ years of experience designing enterprise-scale cloud systems in GCP and/or Azure
  • Deep expertise in cloud-native services relevant to CIE's stack and healthcare data

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 across multiple squads
  • Lead the design of scalable, fault-tolerant platforms supporting clinical AI/ML workloads
  • Define and govern ML architecture patterns, including MLOps tooling and model serving infrastructure
  • Lead architecture for LLM-integrated systems including prompt engineering frameworks and RAG pipelines

Skills

Software architecture
Cloud architecture
Distributed systems
MLOps / ML pipelines
SAFe Agile
Stakeholder influence

Education

Bachelor's degree in Computer Science or related field
Master's degree in Computer Science or related field

Tools

BigQuery
Dataflow
Vertex AI
Cloud Run
GKE
Pub/Sub
Cloud Storage

Job description

CVS Health is seeking a Staff Software Architect to lead the Clinical Insights Engine platform. You will shape the long-term software and systems architecture, drive cross-functional alignment, and design mission-critical systems powering clinical AI, ML inference pipelines, and large-scale healthcare analytics.

You will mentor engineers, influence senior stakeholders, ensure HIPAA compliance, and promote best practices across multiple squads and product teams in an enterprise-wide capacity.

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