Senior Software Architect

CVS Health • New York, MA

4d • $83,430 - $203,940 • Remote

About The Position

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 Senior Software Architect to serve as a hands-on technical leader within the Clinical Insights Engine team at CVS Health. This is a senior individual contributor role with squad- and program-level influence. You will design and deliver scalable cloud-native systems that power clinical AI models, ML inference pipelines, enterprise reporting, and large-scale healthcare analytics on GCP and Azure. You will partner closely with engineering leads, ML engineers, and product teams within CIE — translating architectural vision into working systems, driving technical consistency across squads, and mentoring the next generation of engineers on the team.

Requirements

• 5+ years of experience in software or data architecture, platform engineering, or a closely related field
• 3+ years of experience designing and delivering cloud-native systems in GCP and/or Azure in a production healthcare or regulated industry environment
• Solid hands-on experience with cloud-native services relevant to CIE's stack: BigQuery, Dataflow, Vertex AI, Cloud Run, GKE, Pub/Sub, Cloud Storage, or Azure equivalents
• Experience building or contributing to clinical AI/ML platforms — including model serving, MLOps pipelines, or LLM integration patterns applied to healthcare data
• Working knowledge of distributed systems design: event streaming, asynchronous processing, API gateway patterns, and fault-tolerant pipeline architecture
• Ability to influence technical direction within a squad or program and communicate architectural trade-offs clearly to engineering and product peers
• Familiarity with clinical and healthcare data domains: clinical notes, EHR data, claims, pharmacy, member, and/or provider data
• Understanding of HIPAA, PHI handling requirements, and enterprise security practices relevant to clinical data systems
• Experience working in SAFe Agile or similar large-scale Agile delivery models

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 applicable to patient fact extraction or clinical summarization workflows
• Experience building or operating ML pipelines using Vertex AI Pipelines, Kubeflow, MLflow, or equivalent tooling
• Familiarity with data mesh principles and domain-oriented data ownership concepts
• Exposure to real-time ML serving, model monitoring, and drift detection in clinical or regulated AI contexts
• Background in health plan, healthcare delivery, or clinical operations environments

Responsibilities

• Design and implement end-to-end software architecture for Clinical Insights Engine platform components across GCP and Azure environments
• Serve as a technical authority within your squad and across adjacent CIE engineering teams, leading design reviews and architectural decisions
• Lead the design of scalable, fault-tolerant systems supporting clinical AI/ML workloads — including LLM inference pipelines, document processing, and real-time clinical data services
• Implement and maintain ML architecture patterns — feature stores, model registries, model serving infrastructure, experiment tracking, and MLOps pipelines — with a focus on reliability and observability
• Contribute to LLM-integrated system design including RAG pipelines, embedding stores, prompt engineering frameworks, and clinical NLP processing
• Define and document squad-level engineering standards, reference architectures, and reusable platform patterns within CIE
• Collaborate with CIE product managers, ML engineers, and clinical stakeholders to translate program requirements into sound technical designs
• Participate in enterprise architecture forums and HCD data governance working groups as a CIE technical representative
• Apply engineering best practices across your workstreams: event-driven design, API-first development, data quality at source, and self-service platform patterns
• Identify and surface architectural risk, technical debt, and data quality issues within your area of ownership; propose and execute remediation plans
• Mentor mid-level engineers within CIE squads; contribute to a culture of technical rigor and continuous improvement
• Ensure systems you design meet HIPAA compliance, enterprise security standards, and clinical data governance requirements

Benefits

• medical, dental, and vision coverage
• paid time off
• retirement savings options
• wellness programs
• other resources, based on eligibility

What This Job Offers

• Job Type: Full-time
• Career Level: Senior