Principal Architect

Job description

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 We are hiring a Principal Applied AI Architect to take ownership of how we build AI‑powered products and applications at CVS Health. This role sits within our Enterprise Architecture organization and is responsible for designing, building, and shipping AI applications across the enterprise. LLMs, agents, and AI coding tools have matured to where they can drive real production systems, and we are investing in this capability across the enterprise. We need someone who can identify the right products to build, design and architect each system, write the specs, and ship working applications using modern AI coding agents while keeping production quality high. We use foundation models from Anthropic, OpenAI, Google, AWS Bedrock, and Azure OpenAI, and build agentic systems on frameworks such as LangGraph, CrewAI, OpenAI Agents SDK, and MCP. AI applications must integrate cleanly with our enterprise platforms, identity, and data services, working alongside the platform and system owners who run them. This role also includes coaching other architects and senior engineers on advanced applied‑AI coding techniques and AI‑augmented workflows so the existing team can move faster on their current work. This is a hands‑on role: you will write PRDs, design systems, build prototypes that become production references, ship code using AI coding agents, review AI‑generated code, coach other architects, and present to leadership. This position can work remotely from anywhere in the continental USA. Responsibilities System Design & AI Product Architecture Identify high‑value AI use cases across CVS Health and shape them into products with clear scope, user need, and success criteria. Design and architect each AI system end‑to‑end, including retrieval, agent orchestration, tool and MCP integration, evaluation harnesses, observability, and human‑in‑the‑loop hand‑offs. Write product requirements, design documents, and architecture decision records for the AI products you own. Build production implementations using AI coding agents (Claude Code, Codex, and equivalents), with disciplined testing, review, and observability. Partner with platform and system owners to integrate AI applications cleanly with our enterprise platforms, identity, and data services, following CVS standards for security and compliance. AI‑Augmented Build & Engineering Judgment Use modern AI coding agents (Claude Code, Codex, Cursor, and equivalents) as a primary production build tool to compress build cycles while maintaining high production quality. Apply seasoned engineering judgment to review AI‑generated code at architectural depth, catching integration mistakes, silent failure modes, and design drift before they reach production. Coach other architects and senior engineers on applied‑AI coding techniques and AI‑augmented workflows so they can speed up their own work and their teams’ work. Build reusable building blocks (agent skills, MCP servers, sub‑agents, prompt and evaluation libraries, reference implementations) from the products you ship so other teams can adopt them. Identify where coding agents and agentic workflows can speed up application, platform, and integration team work, and help those teams adopt the practice. Architecture Community & Influence Participate in cross‑functional architecture working groups covering applications, platforms, and integrations that use AI. Publish architecture decision records and reference implementations from the products you build so teams can adopt them. Mentor architects and engineers and conduct architecture reviews of AI systems built across the organization. Work with security and compliance on HIPAA, SOX, and PCI requirements as they apply to AI systems and data handling. Represent CVS Health in vendor evaluations and partner programs (Anthropic, OpenAI, Google, Microsoft, Databricks) and stay connected to the open‑source AI ecosystem. Required Qualifications 12+ years in software engineering and architecture, with a demonstrated progression from production developer to enterprise architect to applied‑AI builder. 8+ years operating at the architecture altitude with a track record of systems you designed, built, and shipped. 2+ years building and shipping production AI applications using LLMs, agentic systems, RAG, MCP, and evaluation frameworks. Hands‑on experience with at least one major foundation model provider (Anthropic, OpenAI, Google, AWS Bedrock, or Azure OpenAI) and at least one agent framework (LangGraph, CrewAI, OpenAI Agents SDK, Semantic Kernel/MAF), with a clear opinion on tradeoffs. Strong Python plus one additional production language (TypeScript, Java, Go, or similar). Solid system‑design fundamentals across distributed systems, APIs, cloud (Azure, AWS, or GCP), data pipelines, and enterprise integration patterns. Strong product instinct: able to identify what to build, scope it, and write the spec independently. Proven track record of AI applications shipped to production with disciplined evaluation, testing, and observability. Able to communicate clearly with both engineers and senior leadership. Preferred Qualifications Experience working with multiple foundation model providers and a clear point of view on when to use each. Experience building MCP servers and defining tool integrations for agent ecosystems. AI evaluation tooling experience (LangSmith, Braintrust, Promptfoo, or custom evaluation harnesses). Hands‑on experience using AI coding agents (Claude Code, Codex, Cursor, GitHub Copilot) as production build tools, not just IDE assistants. Experience publishing PRDs, product specs, or technical strategy documents as a hands‑on architect or staff engineer. Contributions to open‑source AI projects or communities (LangChain, MCP, agent frameworks, etc.). Healthcare, insurance, or financial services experience (HIPAA familiarity). Patent filings, conference talks, or published technical writing on applied AI. Cloud certifications are a plus but not required. Education Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent work experience. 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. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong. 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: 10/26/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.