FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Staff Software Architect
CVS Health. Define the long-term software and systems architecture vision for the Clinical Insights Engine platform .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in defining and governing software architecture for clinical AI/ML platforms, ensuring compliance with HIPAA and enterprise security standards. Proven ability to lead multi-squad engineering programs and influence stakeholders across technical and business domains.
Highest-signal resume keywords
Cloud Architecture in GCP and AzureClinical AI/ML Platform DesignDistributed Systems DesignHIPAA Compliance and Data GovernanceMLOps and Model Serving Infrastructure
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software ArchitecturePlatform EngineeringBigQueryDataflowVertex AICloud RunGKEPub/SubCloud StorageAPI Gateway Patterns
Soft Skills
Influencing StakeholdersMentoring EngineersTechnical Leadership
Tools & Technologies
MLOps ToolingEvent-Driven DesignService MeshAsynchronous ProcessingData Quality Management
Certifications & Qualifications
Google Cloud Professional ArchitectGCP Data EngineerAzure Solutions Architect
Industry Keywords
Clinical Data Privacy RegulationsHealthcare Data DomainsEHR DataClinical NLPReal-Time ML Serving
Tech Stack
Tools & technologiesAzureBigQueryCloudDistributed SystemsGoogle Cloud Platform
About the role
Key responsibilities & impact- Define the long-term software and systems architecture vision for the Clinical Insights Engine platform
- Drive the end-to-end architecture vision and roadmap across GCP and Azure environments
- Provide technical authority, guidance, and governance across engineering squads and product teams
- Lead design of scalable, fault-tolerant, cost-optimized platforms for clinical AI/ML workloads
- Define and govern ML architecture patterns, including feature stores, model registries, model serving, experiment tracking, and MLOps pipelines
- Lead architecture for LLM-integrated systems, prompt engineering frameworks, RAG pipelines, embedding stores, and clinical NLP processing
- Define engineering standards, reference architectures, and reusable platform patterns
- Align technical architecture with clinical program outcomes and business strategy
- Represent the team in enterprise architecture forums, data governance councils, and technical leadership groups
- Champion event-driven design, API-first development, data quality, and self-service platform patterns
- Identify and address architectural risk, technical debt, and data quality issues
- Mentor senior engineers and architects
- Ensure systems meet HIPAA compliance, enterprise security standards, and clinical data governance requirements
Requirements
What you’ll need- 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 BigQuery, Dataflow, Vertex AI, Cloud Run, GKE, Pub/Sub, Cloud Storage, or Azure equivalents
- 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
- Ability to influence and align senior technical and business stakeholders across portfolio and product boundaries without direct authority
- Familiarity with clinical and healthcare data domains, including clinical notes, EHR data, claims, pharmacy, member, and provider data
- 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
- Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related field required
- Preferred: Google Cloud Professional Architect, GCP Data Engineer, or Azure Solutions Architect certification
- Preferred: hands-on experience with LLM-based clinical document processing, RAG architectures, OCR pipelines, or clinical NLP
- Preferred: experience operating production ML platforms at scale using Vertex AI Pipelines, Kubeflow, MLflow, or equivalent
- Preferred: familiarity with data mesh principles, domain-oriented data ownership, and federated governance
- Preferred: background in real-time ML serving, A/B testing infrastructure, and model monitoring and drift detection
- Preferred: prior experience in health plan, healthcare delivery, or clinical operations environments
- Preferred: published thought leadership, conference presentations, or patents in AI/ML systems, clinical NLP, or healthcare data architecture
Benefits
Comp & perks- CVS Health bonus, commission or short-term incentive program
- Equity award program
- Medical coverage
- Dental coverage
- Vision coverage
- Paid time off
- Retirement savings options
- Wellness programs
- Other resources supporting physical, emotional, and financial well-being