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Job Description

Senior AI Engineer role focused on directing AI platform development across the CNA Insurance engineering community and integrating AI capabilities into existing dev and test workflows.

Responsibilities

  • Lead the architecture, design, development, and integration of AI powered engineering platforms, applications, agents, and skills to support software delivery and boost developer productivity.
  • Promote adoption of AI enabled development platforms across the engineering community through roadshows, communities of practice, and demonstration sessions.
  • Provide technical leadership and guidance to engineering teams on AI solution design, application integration patterns, prompt engineering, workflow design, and secure scalable implementations.
  • Design and implement robust testing and validation approaches for AI enabled applications and platforms, including automated testing, quality assurance, and CI/CD integration.
  • Research, evaluate, and recommend AI tools, frameworks, models, and platform capabilities to identify effective and cost efficient solutions for business and engineering needs.
  • Collaborate with engineering, infrastructure, security, testing, and external partners to align requirements and ensure successful delivery of AI platform capabilities.
  • Contribute to AI engineering strategy, architectural direction, governance, and best practices, including reusable patterns for platform development, observability, and supportability.
  • Support deployment, monitoring, issue resolution, and ongoing enhancement of AI based applications and platforms in test and production environments to ensure reliability and continuous improvement.

Requirements

  • Strong knowledge of AI native development tools such as Cursor, GitHub Copilot, Claude Code, and MCPs.
  • Proven capability in building AI based platforms, applications, agents and skills.
  • Experience with developing EVALs and Observability capabilities for AI native solutions.
  • Background in AI model development and application design, with a focus on Vertex AI.
  • Experience with Retrieval-Augmented Generation (RAG) pipeline architecture and development.
  • Proficiency in high level languages including Python and/or TypeScript, plus Java or JavaScript.
  • Solid knowledge of databases, interfaces, and alternative approaches to application development.
  • Advanced expertise in designing and building integration platforms, APIs and web services.
  • Working knowledge of development toolchains (VS Code or JetBrains IDEs, Git and GitHub, npm/yarn, pip, Maven/Gradle, Docker) with 5+ years of experience.
  • Experience with AI native software development life cycle and various development approaches.
  • Understanding of state of the art software packages for application development support.
  • Proficiency in at least one high level programming language.
  • Strong analytical and problem solving abilities.
  • Excellent communication and interpersonal skills with ability to collaborate with peers, IT leadership, and partners.
  • Ability to manage projects, lead teams, and mentor colleagues.
  • Insurance industry knowledge is a plus.
  • Preferred experience with React or other front end frameworks.
  • Preferred background as an SDET or strong knowledge of test automation tools such as Playwright or Cypress.
  • Education: Bachelor's degree in Computer Science or related discipline, or equivalent work experience.
  • Typically 7+ years of systems analysis and application development experience.
  • Some prior project leadership experience.
  • Applicable certifications are a plus.

Technologies

  • Cursor
  • GitHub Copilot
  • Claude Code
  • MCPs
  • Vertex AI
  • RAG ( Retrieval Augmented Generation )
  • Python
  • TypeScript
  • Java
  • JavaScript
  • VS Code
  • JetBrains IDEs
  • Git
  • GitHub
  • npm
  • yarn
  • pip
  • Maven
  • Gradle
  • Docker
  • Playwright
  • Cypress
  • React

Job Details

  • Location: Chicago, IL, hybrid
  • Annual salary: USD 72,000 to 141,000
  • Experience: typically 7+ years
  • Education: Bachelor's degree in Computer Science or related discipline, or equivalent work experience

Reporting

  • Typically reports to Director or above

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