Principal Architect
$144,200–$288,400 year
RemoteUnited States
Job Summary
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, 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 owners to integrate AI applications cleanly with enterprise platforms, identity, and data services. Coach other architects and senior engineers on applied-AI coding techniques and AI-augmented workflows. Mentor teams, conduct architecture reviews, and represent CVS Health in vendor evaluations for Anthropic, OpenAI, Google, and Microsoft. This full-time role is remote within the continental USA.
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
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent work experience
Desired 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
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