Position SummaryCVS Health is looking for a Principal Engineer - Digital to serve as one of the most impactful individual contributors in the organization. This is a role for someone who can see, shape, and set the technical direction of our entire digital ecosystem. You will be part of the team that has the technical authority across mobile (iOS & Android), web, cloud infrastructure, AI/ML platforms, backend systems, security, developer tooling, and agentic AI. You will define architectural standards, evaluate emerging technologies, mentor senior engineers, and make the high‑stakes technical decisions that no single product team can own alone. If you thrive at the intersection of systems thinking, deep technical craft, and organizational influence - and want your work to touch the health of tens of millions of Americans every day - this is the role for you.Architecture & Technical StrategyDefine and own the end‑to‑end digital architecture strategy, ensuring coherence and consistency across mobile, web, cloud, and AI surfacesAuthor and steward Architecture Decision Records that guide engineering decisions across multiple teams and domainsEvaluate and validate major architectural choices – service boundaries, data models, API contracts, and infrastructure patterns – before they become expensive to changeIdentify and eliminate architectural debt proactively, balancing short‑term delivery pressure with long‑term platform healthEstablish and enforce engineering standards, design principles, and best practices across the full digital portfolioDrive technology radar decisions – selecting, adopting, and deprecating frameworks, tools, and platforms across the organizationDefine web architecture standards including application framework selection, rendering strategy (SSR, CSR, ISR), and micro‑frontend approaches where appropriateLead performance engineering for web: Core Web Vitals targets, bundle optimization, lazy loading strategy, and CDN/edge caching architectureGovern third‑party script strategy to protect page performance, user privacy, and securityAI Architecture, Agentic AI & AI SolutioningDefine the organization's AI architecture strategy across the full spectrum – foundational model selection, inference infrastructure, vector databases, embedding pipelines, and responsible AI design patternsBuild and strategize AI systems to be consumed for Mobile apps/Web and the personalization, recommendations using the data analysis and AI/ML toolsLead agentic AI system design using orchestration frameworks (LangChain, LangGraph, AutoGen, or equivalent), including agent loop design, tool use, memory, and guardrailsEnsure all AI systems meet explainability, fairness, and compliance requirements – particularly in a regulated healthcare contextIdentify AI solutioning opportunities across the digital product portfolio and drive proof‑of‑concepts through to production‑grade implementationCloud Infrastructure & Backend SystemsArchitect scalable, resilient cloud infrastructure – including compute, storage, networking, and managed services strategyDefine backend service architecture: microservices decomposition, event‑driven systems, API gateway patterns, and service mesh configurationLead platform engineering efforts: developer portals, internal tooling, shared libraries, and golden‑path templates that accelerate every product teamDesign and govern data architecture decisions: databases at scale, caching layers (Redis, CDN) and streaming pipelinesEstablish SLO/SLA frameworks, error budget policies, and on‑call standards that balance reliability with engineering velocitySecurity & ComplianceLead digital security architecture: zero‑trust network design, identity and access management, secrets management, and service‑to‑service authenticationLead threat modeling exercises for major platform changes, surfacing and mitigating risks before they reach productionDefine and enforce SAST, DAST, SCA, and container scanning standards across all CI/CD pipelinesOwn compliance architecture for HIPAA, SOC2TypeII, and PCI‑DSS as applicable – translating regulatory requirements into concrete technical controlsPartner with the security team on vulnerability response, penetration testing remediation, and incident response planningDrive a security‑by‑default engineering culture through tooling, training, and code review standardsTechnical Leadership & Organizational EnablementProvide technical mentorship and coaching to senior and staff engineers – elevating the craft of everyone around you, not just delivering your own outputPartner with Engineering Directors, VPs to shape multi‑year technology strategy and communicate tradeoffs in business termsDrive cross‑team technical alignment on shared concerns – preventing duplication, resolving conflicting approaches, and building shared platforms where warrantedCreate and maintain technical documentation, architecture diagrams, and decision records that serve as the institutional memory of the platformRepresent engineering in cross‑functional forums with Product, Design, Data, and Business stakeholders – translating between technical depth and business impactRequired Qualifications10+ years of software engineering experience, with organization‑wide technical scope5+ years of hands‑on expertise in at least two of: native iOS (Swift/SwiftUI), native Android (Kotlin/Jetpack), or modern web (React/Next.js/TypeScript)5+ years of cloud architecture experience (GCP, Azure or AWS) running production workloads at scale5+ years of security engineering experience with real compliance exposure3+ years of AI engineering experience: shipping production systems built on foundation models (OpenAI, Anthropic, Google, or open‑weight equivalents), including prompt engineering, RAG, evaluation pipelines, and fine‑tuning where appropriate2+ years of hands‑on experience building agentic AI systems using orchestration frameworks such as LangChain, LangGraph, AutoGen, or equivalent – including agent loop design, tool integration, memory, and guardrails2+ years of broad AI architecture expertise: model selection tradeoffs, inference infrastructure, vector databases, embedding pipelines, and responsible AI design patterns2+ years of AI Delivery experience: designing and shipping AI/ML‑powered products at production scale, spanning both generative and predictive systemsPreferred QualificationsTrack record of driving cross‑functional technical decisions at an organizational level, not just within a single teamExperience establishing CI/CD, testing, and observability standards that multiple teams adopt and rely onFamiliarity with MLOps practices and model fine‑tuning pipelinesFlutter or cross‑platform mobile development experienceExperience building internal developer platforms, design systems, or platform engineering capabilitiesOpen‑source contributions or published technical writingExperience with App Store Connect API, Play Developer API, and automated release tooling (Fastlane, etc.)Familiarity with observability and APM tooling (Datadog, New Relic, Dynatrace, Firebase Performance)EducationBachelor's degree or equivalent experience (HS diploma + 4 years relevant experience)Pay RangeThe typical pay range for this role is $144,200.00 – $288,400.00. 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 peopleWe 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.Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.#J-18808-Ljbffr