Principal Architect, Solution Engineering, AI and Architecture

Overview

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 CVS Health is seeking a Principal Architect to provide enterprise-level technical leadership across complex, business-critical platforms, with strong accountability for application, data, and integration architecture. This role emphasizes AI-powered systems, agentic architectures, intelligent automation, and modern data platforms. The role owns end-to-end solution architecture for large-scale initiatives and shapes how data and software are designed, built, governed, and evolved across the enterprise.

The ideal candidate is a hands-on, outcome-driven architect who operates across business, product, engineering, and executive leadership, balancing innovation, delivery speed, data integrity, and long-term platform health.

• Own and evolve end-to-end solution architecture for highly complex, cross-domain initiatives encompassing application, integration, and data architecture.
• Provide technology leadership and architectural oversight to ensure adherence to enterprise architecture principles and standards while maximizing reuse of technology and data assets.
• Serve as a technical authority and trusted advisor to senior engineering, product, data, and business leaders.
• Lead architecture design reviews, identify systemic gaps and risks across systems and data flows, and drive pragmatic remediation.

• Lead modernization of distributed platforms spanning cloud-native and legacy environments.
• Define and enforce reference architectures for microservices, APIs, event-driven systems, and data platforms.
• Design integration architectures leveraging APIs, event streaming, and asynchronous messaging to decouple systems and enable resilience.
• Perform build versus buy evaluations using qualitative and quantitative analysis, delivering clear architectural recommendations.

• Define and own data architecture strategies including domain-oriented data models, canonical data definitions, and system-of-record design.
• Architect scalable data platforms supporting operational reporting, analytics, AI, and downstream consumption.
• Establish patterns for data integration, data lineage, quality, observability, and governance.
• Partner with data engineering, analytics, security, and compliance teams to ensure data architectures meet privacy, regulatory, and audit requirements.

• Design and guide implementation of agent-based and agent-orchestrated architectures to support complex workflows and decision-making.
• Leverage Lang Graph, agent development kits, and orchestration patterns to enable multi-step reasoning, tool-using agents, and human-in-the-loop workflows.
• Ensure AI systems are governed, observable, secure, and auditable by design.
• Partner with security, legal, and compliance teams to enable responsible AI adoption.

• Champion AI-assisted software development practices including code generation, refactoring, test creation, impact analysis, and documentation automation.
• Establish architectural patterns that improve developer productivity without sacrificing quality, data integrity, or control.

• Partner with development teams to remove architectural bottlenecks and accelerate delivery.
• Develop reference implementations and working patterns, providing hands-on guidance and coaching.
• Advise teams on performance, scalability, reliability, security, observability, and data architecture challenges.
• Define and uphold architecture and data standards while enabling team autonomy.

Required Qualifications

• 12+ years of experience in enterprise application, integration, and data architecture.
• Strong expertise in Domain-Driven…