Staff Software Architect

9025 CVS Shared Services Resources LLC; Hartford (CT); In loco; USD 107.000 - 261.000; Tempo pieno

Descrizione del lavoro

CVS Health is seeking a Staff Software Architect to lead the architecture vision for the Clinical Insights Engine platform. This senior individual contributor role shapes enterprise-wide engineering strategy and guides scalable, compliant data systems powering clinical AI models and analytics.

You will drive architecture across GCP and Azure, mentor engineers, and partner with clinical stakeholders to align technical decisions with patient care outcomes, all while ensuring security, governance,

Competenze

• 8+ years of experience in software or data architecture
• 5+ years designing enterprise-scale cloud systems in production healthcare or regulated environments
• Deep expertise in cloud-native services for CIE stack (GCP/Azure)
• Experience architecting clinical AI/ML platforms including feature stores and MLOps tooling
• Strong distributed systems design (event streaming, API gateways, fault tolerance)
• Experience defining multi-year platform roadmaps across large programs
• Familiarity with HIPAA, PHI handling and enterprise security frameworks
• Experience working in SAFe Agile environments

Mansioni

• Drive architecture vision and roadmap for the Clinical Insights Engine platform across GCP and Azure
• Serve as technical authority for system design and governance across squads
• Lead scalable, cost-optimized platforms for clinical AI/ML workloads
• Define ML architecture patterns including feature stores, model serving, and experiment tracking
• Lead LLM-integrated systems with prompt engineering and RAG pipelines
• Define enterprise standards and reference architectures across CVS Health engineering
• Partner with portfolio leads to align architecture with clinical outcomes and business strategy
• Represent CIE in enterprise architecture forums and data governance councils
• Champion best practices in event-driven design, API-first development and data quality
• Mentor senior engineers and ensure HIPAA/compliance across platforms

Conoscenze

Software architecture

Cloud architecture

MLOps

LLM integration

SAFe Agile

Healthcare data domain

Formazione

Bachelor's degree in Computer Science

Master's degree in Computer Science / ML

Strumenti

BigQuery

Dataflow

Vertex AI

GKE

Pub/Sub

Cloud Storage

Kubeflow

MLflow

Descrizione del lavoro

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.

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.

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

Our Work Experience

Our Work Experience is the combination of everything that's unique about us: our culture, our core values, our company meetings, our commitment to sustainability, our recognition programs, but most importantly, it's our people. Our employees are self‑disciplined, hard working, curious, trustworthy, humble, and truthful. They make choices according to what is best for the team, they live for opportunities to collaborate and make a difference, and they make us the #1 Top Workplace in the area.