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 with experience of AI native platform development and responsible for platform adoption across a CNA engineering community.

This role requires expertise in systems analysis and design, application development and/or integration, and testing of complex systems applications to support CNA engineering team needs. Providing guidance to others informally and formally leads teams on a project and/or program. The focus of this position will be leading, architecting, designing, developing, or integrating AI based engineering platforms applications in existing development and testing workflows. Preferred experience with background as SDET or deep experience with Testing tools like Playwright or Cypress etc.

JOB DESCRIPTION:

Essential Duties & Responsibilities

Performs a combination of duties in accordance with departmental guidelines:

Lead the architecture, design, development, and integration of AI-based engineering platforms, applications, agents, and skills that support software delivery and improve developer productivity.

Drive adoption of AI-enabled development platforms across the engineering community by embedding capabilities by doing road show,COPsand Demo sessions.

Provide technical leadership and consultation to engineering teams on AI solution design, application integration, prompt and workflow patterns, and secure, scalable implementation approaches.

Design and implement robust testing and validation approaches for AI-enabled applications and platforms, including automated testing, quality assurance, and integration into CI/CD pipelines.

Research, evaluate, and recommend AI tools, frameworks, models, and platform capabilities todeterminethe most effective and cost-efficient solutions for business and engineering needs.

Collaborate with engineering, infrastructure, security, testing, 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.

May perform additional duties as assigned.

Reporting Relationship

Typically Director or above

Skills, Knowledge & Abilities

Solid knowledge of use of AI native development toolse.g.Cursor, GitHub Copilot, Claude Code, and MCPs.

Solid technical skills for developing AI based platforms/apps/agents/skills etc.

Experience with development of EVALs and Observability platforms for AI native solutions

Experienced in AI model development and app design, specifically Vertex AI.

Experience with RAG (Retrieval-Augmented Generation) pipeline architecture and development

Solid technical knowledge of high-level programming languages like Python and/or Typescript, Java, JavaScript,

Solid technical knowledge of high-level programming languages, databases, interfaces, and familiarity with application program development alternatives.

Advanced knowledge in designing and building Integration platforms,APIsand Webservices.

Working knowledge of different versions of Dev tools like VS Code or JetBrains IDEs; Git and GitHub;npm/yarn, pip, and/or maven/gradle; docker – 5+ years of experience.

Good experiencein development of AI native system development life cycle, and application program development technological alternatives.

Proven understanding ofstate-of-the-artapplication development support software packages,

proficiencyin at least one higher level programming language.

Proven solid analytical and problem-solving skills.

Excellent communications and interpersonal skills and the ability to work effectively with peers, IT management and staff, and internal/external business partners/clients.

Ability to manage projects, lead teams, and mentor individuals.

Preferred insurance industry knowledge.

Preferred experience with React or other front-end frameworks.

Preferred experience as an SDET or deep knowledge of test automation tools like Playwright, Cypress

Education & Experience

Bachelor's degree in Computer Science, or related discipline, or equivalent work experience.
Typically a minimum of seven years of systems analysis and application program development experience.
Some previous project leadership experience.
Applicable certifications preferred.

#LI-KJ1 #LI-HYBRID

In certain jurisdictions, CNA is legally required to include a reasonable estimate of the compensation for this role. In District of Columbia,California, Colorado, Connecticut, Illinois,Maryland, Massachusetts, New York and Washington,the national base pay range for this job level is $72,000 to $141,000 annually. Salary determinations are based on various factors, including but not limited to, relevant work experience, skills, certifications and location. CNA offers a comprehensive and competitive benefits package to help our employees – and their family members – achieve their physical, financial, emotional and social wellbeing goals. For a detailed look at CNA’s benefits, please visit cnabenefits.com.

CNA is committed to providing reasonable accommodations to qualified individuals with disabilities in the recruitment process. To request an accommodation, please contactleaveadministration@cna.com.

Senior AI Engineer

CNA Insurance

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