Principal Architect, Solution Engineering, AI and Architecture

CVS Health•Chicago, IL

3d•$144,200 - $288,400

About The Position

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.

Requirements

12+ years of experience in enterprise application, integration, and data architecture.
Strong expertise in Domain-Driven Design, microservices, APIs, event-driven systems, and data modeling.
Hands-on experience with major public cloud platforms including Azure, AWS, and GCP.
Proven experience integrating modern cloud platforms with legacy systems and enterprise data stores.
Demonstrated ability to influence senior engineers, data leaders, and executives without direct authority.
Hands-on experience applying AI, Agentic AI, ML, or GenAI to automate workflows, analyze data, and assist development.
Bachelor Degree in Computer Science or related field required

Nice To Haves

Experience designing or implementing agentic AI systems and orchestration-based workflows.
Familiarity with LangGraph, agent development kits, or similar frameworks.
Experience with modern data platforms, streaming data pipelines, and analytical data stores.
Experience with DevSecOps, CI/CD, and platform engineering practices.
Experience operating in highly regulated environments.
Master Degree in Computer Science or related field preferred

Responsibilities

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 LangGraph, 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.