[Hiring] Principal AI/Automation Solutions Architect @CVS Health

Role Description

CVS Health is hiring a Principal AI/Automation Solutions Architect to join the AI/ML Solutions Delivery organization and drive the strategy, architecture, and adoption of enterprise-scale AI, automation, and agentic solutions. The Principal AI/Automation Solutions Architect serves as a senior technical leader and trusted advisor, acting as the critical connection between AI Platform Engineering teams and Product Delivery organizations. This role combines architecture leadership, consulting, solution design, and hands-on prototyping to translate platform capabilities into scalable business solutions while influencing the future direction of enterprise AI and automation platforms.

The Principal AI/Automation Solutions Architect will define and govern reusable architecture patterns supporting use cases such as:

• Intelligent automation
• Conversational AI
• Agentic data analytics
• Knowledge management
• Content generation
• Correlation and root cause analysis
• Enterprise workflow orchestration

Working closely with AI Platform Engineering, Enterprise Architecture, Cybersecurity, IT Operations, and Product Delivery teams, this individual will ensure solutions are secure, resilient, scalable, and aligned with enterprise standards while accelerating adoption of AI-powered capabilities across CVS Health. The Principal AI/Automation Solutions Architect will influence architectural direction across multiple teams, provide technical leadership and mentorship, and help shape both solution and platform roadmaps without direct management responsibility.

Qualifications

• 10+ years of experience in solution architecture, software engineering, enterprise architecture, or technology consulting with demonstrated ownership of large-scale technical initiatives, architecture strategy, and enterprise-wide decision making.
• Proven success over 9+ years architecting, prototyping, and guiding delivery of AI, machine learning, automation, or agentic AI solutions across multiple business domains and complex enterprise environments.
• 8+ years partnering with platform engineering organizations, product teams, and delivery teams to define reusable architecture patterns, accelerate solution adoption, and influence strategic technology roadmaps.
• 7+ years designing and governing architectures incorporating multi-agent orchestration, retrieval-augmented generation (RAG), GraphRAG, memory frameworks, guardrails, evaluation frameworks, AI governance controls, and large language model integrations.
• 5+ years leading architecture reviews, technical governance processes, design standards initiatives, or enterprise decision-making forums while influencing cross-functional stakeholders without direct authority.

Requirements

• Strong full-stack engineering background with the ability to build working prototypes, evaluate technical approaches, and define solution architectures across APIs, microservices, cloud-native applications, distributed systems, and interconnected platforms.
• Experience with Google Vertex AI, Anthropic Claude, Azure AI, AWS AI services, ServiceNow AI, Databricks, and agent orchestration platforms such as Agent Development Kit (ADK), Mosaic AI, Agent Studio, or comparable technologies.
• Knowledge of prompt engineering, context engineering, harness engineering, multi-agent architectures, semantic retrieval, vector databases, GraphRAG, evaluation frameworks, AI observability, model performance optimization, and enterprise AI design patterns.
• Experience supporting healthcare, pharmacy, cybersecurity, IT Operations, AIOps, root cause analysis, or other highly regulated enterprise environments requiring strong governance, risk management, and compliance controls.
• Demonstrated thought leadership, consulting expertise, and pragmatic technical judgment, including the ability to evaluate competing architectural approaches, communicate uncertainty and risk effectively, and select the most appropriate solution pattern whether AI-driven or traditional automation-based.

Education

• Bachelor’s degree from accredited university or equivalent work experience (HS diploma + 4 years relevant experience).

Benefits

• Comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families.
• Medical, dental, and vision coverage.
• Paid time off.
• Retirement savings options.
• Wellness programs and other resources, based on eligibility.