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GH
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CVS Health

Staff Software Architect

Trenton, NJ, United States

$106,605.00 - $260,590.00

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Job details

Pay: $106,605.00 - $260,590.00
Posting language: English
Posted: Nov 6, 2026

Original job description

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.

Position Summary

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.

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

Required Qualifications

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

Preferred Qualifications

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

Education

Bachelor'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

Pay Range

The typical pay range for this role is:

$106,605.00 - $260,590.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.

Additional details about available benefits are provided during the application process and on Benefits Moments (https://learn.bswift.com/cvshealth-mainland) .

We anticipate the application window for this opening will close on: 11/20/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

CVS Health is an equal opportunity/affirmative action employer, including Disability/Protected Veteran - committed to diversity in the workplace.

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More about this job

Skills

ML
Reporting
Google Cloud
Microsoft Azure
Natural language processing
Leadership
Regulatory compliance
Security regulations
BigQuery
Clinical reports
EHR
Agile
OCR
Kubeflow
Mlflow
Presentation skills
Computer science
Machine learning

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