Staff Software Architect

CVS Health

Closes in 3 days Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $106,605–$260,590 / yr
Posted: 3 days ago
Closes: Jun 18, 2026 (soon)

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $199k

This role $184k

$88k most similar roles pay here $279k

This role pays less than 66% of similar roles. Most pay $167,100–$231,225 — the shaded band above. At the midpoint, this role pays about $184k versus about $199k for comparable roles.

Based on 240 similar postings.

Employer

About CVS Health

CVS Health is a leading American healthcare company operating retail pharmacies, pharmacy benefit management services, and a health insurance segment through Aetna, one of the nation''s largest health insurers. Industry: Healthcare & Pharmacy

CVS Health currently has 152 open roles on FindRole.

Listed pay typically runs $118,450–$260,590 across 149 roles with salary data.

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View all roles at CVS Health

At a glance

TL;DR · Staff Software Architect

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The Staff Software Architect role at CVS Health’s Clinical Insights Engine team is a senior individual contributor position focused on defining and driving the long-term software architecture vision across Google Cloud Platform (GCP) and Azure environments. This technical leader will oversee the design of scalable, fault-tolerant systems for clinical AI models, ML inference pipelines, and large-scale healthcare analytics, ensuring compliance with HIPAA standards. Key responsibilities include setting enterprise-wide engineering standards, mentoring senior engineers, and collaborating with product managers to align technical architecture with business goals. The ideal candidate has extensive experience in cloud-native services like BigQuery, Dataflow, Vertex AI, and Azure equivalents, along with a deep understanding of clinical data domains and healthcare regulations.

Skills

GCP Azure BigQuery Dataflow Vertex AI Cloud Run GKE Pub/Sub Cloud Storage MLflow Kubeflow HIPAA SAFe Agile API-first development event-driven design service mesh feature stores model registries MLOps LLM integration clinical NLP OCR pipelines RAG architectures

What you'll do

Drive end-to-end software architecture vision and roadmap for Clinical Insights Engine platform.
Lead design of scalable, fault-tolerant platforms supporting clinical AI/ML workloads.
Define and govern ML architecture patterns ensuring reproducibility and reliability.
Champion engineering best practices across squads: event-driven design, API-first development.
Mentor senior engineers and architects; build culture of technical rigor and innovation.

What we're looking for

Over 8 years of experience in software or data architecture, platform engineering, or a related field.
Extensive experience designing enterprise-scale cloud systems (GCP and/or Azure) in healthcare environments.
Deep expertise in cloud-native services relevant to clinical AI/ML platforms.
Proven ability to architect clinical AI/ML platforms including feature stores, model serving infrastructure, and MLOps tooling.
Strong command of distributed systems design principles and patterns for fault-tolerant pipeline architecture.
Experience defining and executing multi-year platform roadmaps across large engineering programs.

Remote

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