Principal Architect - AI Builder
Listed on 2026-07-04
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Software Development
AI Engineer (Applied/Software), Software Architect
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.
PositionSummary
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 Lang Graph, 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.
ResponsibilitiesSystem 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…
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