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5d ago

Senior AI Engineer

CNA Insurance Chicago, IL

Chicago, IL

5d ago

$72k - $141k/yr Full time Senior AI Enablement Artificial Intelligence

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Job Description

At CNA Insurance, the Senior AI Engineer role sits at the crossroads of software delivery and intelligent tooling. Based in Chicago with a hybrid work arrangement, this position leads the architectural design and integration of AI-powered engineering platforms across the CNA engineering community, helping teams embed AI capabilities into their dev and test workflows. The role offers a salary range of USD 72,000 to 141,000 per year and requires at least seven years of relevant experience, along with a Bachelor’s degree in Computer Science or a related discipline, or equivalent work experience.

Responsibilities

Oversee the architecture, design, development, and integration of AI-enabled engineering platforms, applications, agents, and capabilities that support software delivery and boost developer productivity.
Advance adoption of AI-powered development platforms across the engineering community through road shows, communities of practice, and demonstration sessions.
Offer technical leadership and consultation on AI solution design, application integration, prompt and workflow patterns, and secure, scalable implementation approaches.
Develop and implement robust testing and validation strategies for AI-enabled applications and platforms, including automated testing, quality assurance processes, and CI/CD integration.
Research, evaluate, and recommend AI tools, frameworks, models, and platform capabilities to identify effective and cost-efficient solutions aligned with business and engineering needs.
Collaborate with engineering, infrastructure, security, testing teams, and external partners to align requirements, integrate solutions, and ensure successful delivery of AI platform capabilities.
Contribute to AI engineering strategy, architecture direction, governance, and best practices, including reusable patterns for platform development, integration, 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, performance, and continuous improvement.

Requirements

Solid knowledge of AI-native development tools such as Cursor, GitHub Copilot, Claude Code, and MCPs.
Strong technical capability for developing AI-based platforms, applications, agents, and skills.
Experience developing EVALs and Observability platforms for AI-native solutions.
Experience with AI model development and app design, specifically Vertex AI.
Experience with Retrieval-Augmented Generation (RAG) pipeline architecture and development.
Proficiency in high-level programming languages such as Python and/or TypeScript, Java, or JavaScript.
Solid understanding of programming languages, databases, interfaces, and familiarity with alternative application development approaches.
Advanced knowledge in designing and building integration platforms, APIs, and web services.
Five or more years of experience with development tools including VS Code or JetBrains IDEs, Git and GitHub, npm/yarn, pip, Maven/Gradle, and Docker.
Experience in AI-native system development life cycle and alternative technologies for application development.
Understanding of state-of-the-art application development support software packages.
Proficiency in at least one high-level programming language.
Strong analytical and problem-solving abilities.
Excellent communications and interpersonal skills with the ability to collaborate with peers, IT leadership, staff, and external partners.
Ability to manage projects, lead teams, and mentor colleagues.
Preferred: insurance industry knowledge.
Preferred: experience with React or other front-end frameworks.
Preferred: experience as an SDET or strong knowledge of test automation tools such as Playwright or Cypress.
Bachelor's degree in Computer Science or related discipline, or equivalent work experience.
Typically at least seven years of systems analysis and application development experience, plus some project leadership experience.
Applicable certifications preferred.

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

Reporting relationship

Typically Director or above

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