Principal Architect, Solution Engineering, AI and Architecture

9025 CVS Shared Services Resources LLC; Chicago (IL); On-site; USD 144,200 - 288,400; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Paid time off

Retirement savings options

Wellness programs

Job summary

9025 CVS Shared Services Resources LLC is looking for a Principal Architect to provide technical leadership on complex platforms. This role emphasizes AI-powered systems and requires 12+ years in enterprise-level architecture. You will own end-to-end solutions and partner with business leaders to maximize technology reuse.

The ideal candidate will have hands-on experience with cloud services and a strong architectural background. Comprehensive benefits and a pay range of $144,200.00 - $288,400.00 are provided.

Qualifications

• 12+ years of experience in enterprise application, integration, and data architecture.
• Strong expertise in Domain-Driven Design, microservices, APIs, and event-driven systems.
• Hands-on experience with major public cloud platforms including Azure, AWS, and GCP.

Responsibilities

• Own and evolve end-to-end solution architecture for complex platforms.
• Lead modernization of distributed platforms spanning cloud-native and legacy environments.
• Define and enforce reference architectures for microservices, APIs, and data platforms.

Skills

Domain-Driven Design

Microservices

APIs

Event-Driven Systems

Data Modeling

AI Automation

Education

Bachelor Degree in Computer Science or related field

Master Degree in Computer Science or related field

Tools

Azure

AWS

GCP

Job description

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.

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.

Key Responsibilities

Architecture Leadership and Strategy

• 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.

Platform Modernization and Integration

• 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.

Data Architecture and Governance

• 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.

Agentic AI and Intelligent Automation

• 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.

AI‑Powered Development

• 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.

Engineering Enablement and Governance

• 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 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.

Preferred Qualifications

• 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.

Education

• Bachelor Degree in Computer Science or related field required
• Master Degree in Computer Science or related field preferred

Pay Range

The 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 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: 08/26/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.