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CVS Health Logo CVS Health · IT - Software Development

Principal Architect

United States Employment contract 144200.00 - 288400.00 USD / Year · Job Posted July 13, 2026
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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.

Job Responsibility

  • 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

Requirements

  • 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

Nice to have

  • 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

What we offer

  • medical, dental, and vision coverage
  • paid time off
  • retirement savings options
  • wellness programs
  • bonus, commission or short-term incentive program
  • equity award program
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