Principal AI Engineer

You have a clear vision of where your career can go. And we have the leadership to help you get there. At CNA, we strive to create a culture in which people know they matter and are part of something important, ensuring the abilities of all employees are used to their fullest potential. Individual contributor providing the highest level of technical leadership in the design, development, and scaling of CNA's AI-native agentic engineering platform. This role operates at the intersection of AI systems engineering, developer experience, and software delivery — building the foundational platform capabilities that enable the broad engineering organization to build, ship, and run high-quality, secure AI-native systems at the speed of AI. The focus is on designing and delivering agentic workflows, AI-augmented CI/CD pipelines, reusable skills and agent frameworks, and quality/security guardrails that make AI-accelerated delivery safe and scalable across the enterprise. JOB DESCRIPTION: Essential Duties & Responsibilities Performs a combination of duties in accordance with departmental guidelines: Acts as one of principal engineers for CNA's AI-native engineering platform, designing the end-to-end system spanning agentic coding workflows, skills and agent marketplaces, AI-augmented CI/CD pipelines, automated quality gates, and rapid environment provisioning. Leads integration of A [... source excerpt omitted ...] evelopment practices, evaluate AI-generated code quality, and integrate agentic tooling into existing workflows. Advises on trade-offs between speed and quality, human-in-the-loop requirements, and appropriate levels of AI autonomy for different risk profiles (e.g., Sox-classified systems vs. rapid prototyping). Leads the technical strategy for the centralized skills and agent marketplace, defining contribution standards, review processes, and governance models that enable inner-source contribution at scale while maintaining enterprise quality and security requirements. Establishes what qualifies as a skill, an agent, and an MCP configuration at the enterprise level. Acts as the se [... source excerpt omitted ...] d Engineering, and Data teams to ensure the AI engineering platform integrates with enterprise infrastructure (GCP/GKE, GitHub, JFrog Artifactory), meets regulatory and compliance requirements (AI model tracking, Sox controls), and scales to support hundreds of engineers and AI pod teams across all portfolios. Reporting Relationship Typically Director or above Skills, Knowledge & Abilities Expert knowledge of AI-native software engineering practices including agentic coding workflows (Claude Code, Cursor, GitHub Copilot), prompt and context engineering, multi-agent orchestration, MCP protocol, and skill/agent authoring patterns. Deep understanding of the modern software delivery