Senior Software Architect

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 Required Qualifications - 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 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 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 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 preferred Anticipated Weekly Hours 40 Time Type Full time Pay Range The typical pay range for this role is: $83,430.00 - $203,940.00 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.
• 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 .
• We anticipate the application window for this opening will close on: 06/18/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.