Principal AI Engineer
CNA Insurance
Chicago, IL, USA
Full-Time
$97,000
HybridSenior
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 dutiesin accordance withdepartmental 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 AI tooling (Claude Code, Cursor, GitHub Copilot) into the software delivery lifecycle, ensuring these capabilities compose into a coherent, governed platform.
Designs and builds the agentic infrastructure layer — including multi-agent orchestration patterns, sub-agent frameworks, skill authoring standards, and context engineering best practices — that enables engineering teams tooperateat AI-native speed without sacrificing architectural integrity or security posture.
Provides expert technical consultation to engineering leadership, portfolio teams, and architecture on how to adopt AI-native development practices, evaluate AI-generated code quality, and integrate agentic tooling into existing workflows.Advises ontrade-offs between speed and quality, human-in-the-loop requirements, andappropriate levelsof AI autonomy for different risk profiles (e.g., Sox-classified systems vs. rapid prototyping).
Leads the technical strategy and implementationforengineering metricsplatform. Consult with senior tech leadership stakeholders to provide insightsin target="_blank">cnabenefits.com.
CNA utilizes AI-enabled technology during the recruiting process. For more information, please visit our careers page.
CNA is committed to providing reasonable accommodations to qualified individuals with disabilities in the recruitment process. To request an accommodation, please contact leaveadministration@cna.com