Principal AI/Automation Solutions Architect
About The Position
CVS Health is hiring a Principal AI/Automation Solutions Architect in the AI/ML Solutions Delivery organization to drive the strategy, architecture, and adoption of enterprise-scale AI, automation, and agentic solutions. The role is a senior technical leadership and advisory position connecting AI Platform Engineering teams with Product Delivery organizations. It combines architecture leadership, consulting, solution design, and hands-on prototyping to translate platform capabilities into scalable business solutions and influence the direction of enterprise AI and automation platforms. The architect defines and governs reusable patterns for use cases including intelligent automation, conversational AI, agentic data analytics, knowledge management, content generation, correlation and root cause analysis, and enterprise workflow orchestration. In collaboration with AI Platform Engineering, Enterprise Architecture, Cybersecurity, IT Operations, and Product Delivery teams, the role ensures solutions are secure, resilient, scalable, and aligned with enterprise standards. The position influences architecture across multiple teams, mentors technical colleagues, and shapes solution and platform roadmaps without direct management responsibility.
Requirements
- 10+ years of experience in solution architecture, software engineering, enterprise architecture, or technology consulting, including ownership of large-scale technical initiatives, architecture strategy, and enterprise-wide decision-making.
- 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.
- Bachelor’s degree from an accredited university or equivalent work experience (high school diploma plus 4 years of relevant experience).
Nice To Haves
- Strong full-stack engineering background and ability to build working prototypes, evaluate technical approaches, and define 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 governance, risk management, and compliance controls.
- Demonstrated thought leadership, consulting expertise, and pragmatic technical judgment, including evaluating competing architectural approaches, communicating uncertainty and risk, and selecting an appropriate solution pattern, whether AI-driven or traditional automation-based.
Responsibilities
- Serve as the primary liaison between AI Platform Engineering and Product Delivery, translating platform capabilities into production-ready solution architectures and conveying delivery requirements to inform platform roadmaps.
- Define, validate, and maintain reusable architecture patterns, reference implementations, accelerators, and solution blueprints for enterprise AI and automation use cases.
- Lead discovery sessions, architecture workshops, and hands-on prototyping with business and technology stakeholders; evaluate opportunities and technical feasibility and transition solutions to delivery teams for production implementation.
- Provide architectural governance through design reviews, standards enforcement, and advisory services.
- Ensure solutions address security, privacy, resiliency, scalability, performance, compliance, responsible AI practices, and enterprise architecture principles.
- Communicate architecture decisions, technical trade-offs, platform recommendations, and emerging technology trends to engineers, architects, business stakeholders, and senior leadership.
- Mentor engineers and architects across the organization.
Benefits
- Medical coverage
- Dental coverage
- Vision coverage
- Paid time off
- Retirement savings options
- Wellness programs
- Other resources, based on eligibility
- Eligible for a CVS Health bonus, commission, or short-term incentive program
- Eligible for an award target in the company’s equity award program
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What This Job Offers
Job Type
Full-time
Career Level
Principal
