CNA
Principal AI Engineer
Chicago, IL, USA · Principal
Sponsorship not specified$97k-$189kDetected 14 days ago
Code ReviewGitAWSGCPCloud PlatformsKubernetesTerraformCI/CDGitHub ActionsPlatform EngineeringMachine LearningLLMsAgentic AIAI OrchestrationCybersecurityComplianceSupply ChainSystems EngineeringTest AutomationLeadershipCommunicationProblem SolvingMentoring
About the role
- You have a clear vision of where your career can go.
- And we have the leadership to help you get there.
- 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.
Responsibilities
- 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 to operate at AI-native speed without sacrificing architectural integrity or security posture.
- Leads the technical strategy and implementation for engineering metrics platform. Consult with senior tech leadership stakeholders to provide insights in data-driven decision making.
- Leads build-vs-buy analysis for platform capabilities such as CI/CD tooling, sandbox provisioning, and LLM evaluation infrastructure.
- Deep understanding of the modern software delivery lifecycle with specific expertise in how AI transforms each phase - from AI-assisted requirements and design through agentic code generation, automated testing, AI-augmented code review, and continuous deployment.
- Proficient in building and operating CI/CD platforms (GitHub Actions or equivalent), infrastructure-as-code (Terraform), container orchestration (GKE/Kubernetes), and cloud platforms (GCP), with the ability to design pipelines that enforce quality and security gates without creating delivery bottlenecks.
- Demonstrated ability to design developer platforms and tooling that serve hundreds of engineers at varying skill levels - balancing power-user capability with guardrails that prevent misuse and maintain code quality at scale.
- Able to influence engineering culture and drive adoption of new practices across a large, diverse organization including internal teams and managed service providers.
- Minimum of 9 years of solid, diverse work experience in software engineering with a minimum of 6 years in application development, including significant recent experience (2+ years) building or operating AI-augmented development tools, agentic systems, or developer platforms.
- 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.
Requirements
- Bachelor's Degree with Master's preferred in Computer Science, AI/ML, or related discipline, or equivalent work experience.
- Demonstrated hands-on experience with LLM-based engineering tools (Claude Code, Cursor, GitHub Copilot, or equivalent) in production engineering workflows, not just experimental use.
Compensation
- I n certain jurisdictions, CNA is legally required to include a reasonable estimate of the compensation for this role.
This listing is sourced directly from CNA's careers page and normalized into a canonical job model.