Senior AI Engineer

Role Summary

Individual contributor responsible for leading, architecting, designing, developing, and integrating AI-based engineering platform applications within CNA’s development and testing workflows. The role drives adoption of AI-enabled tools and provides technical leadership to engineering teams.

• Lead the architecture, design, development, and integration of AI-based engineering platforms, applications, agents, and skills.
• Drive adoption of AI-enabled development platforms across the engineering community through roadshows, COPs, and demo sessions.
• Provide technical leadership and consultation 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, including automated testing, QA, and CI/CD pipeline integration.
• Research, evaluate, and recommend AI tools, frameworks, models, and platform capabilities to determine the most effective and cost‑efficient solutions.
• Collaborate with engineering, infrastructure, security, testing, and external partners to align requirements and ensure 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.
• May perform additional duties as assigned.

• Solid knowledge and experience with AI native development tools (e.g., Cursor, Git Hub Copilot, Claude, MCPs).
• Proficiency in high‑level programming languages (Python, Type Script, Java, JavaScript) and database and interface design.
• Experience developing AI-based platforms, applications, agents, and skills.
• Experience with AI model development and application design, specifically Vertex AI.
• Knowledge of RAG (Retrieval‑Augmented Generation) pipeline architecture and development.
• Experience with advanced design and building of integration platforms, APIs, and web services.
• Strong background in development of AI native system development life cycle, observability platforms, and supportable solutions.
• Proficient with version control (Git/Git Hub), package managers (npm/yarn, pip, maven/gradle), and containerization (Docker); 5+ years of experience.
• Solid analytical and problem‑solving skills; excellent communication and interpersonal skills.
• Ability to manage projects, lead teams, and mentor individuals.

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

• Insurance industry knowledge.
• Experience with React or other front‑end frameworks.
• Experience as an SDET or deep knowledge of test automation tools (Playwright, Cypress).

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 relevant work experience, skills, certifications, and location. CNA offers a comprehensive and competitive benefits package to help employees and their families achieve their physical, financial, emotional, and social wellbeing goals.

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