Apply strong engineering judgment to review, validate, and standardize AI-generated outputs
Architect and deliver scalable, cloud-native and API-driven solutions across enterprise platforms
Guide teams in building production-grade applications using modern engineering principles (microservices, event-driven architecture, CI/CD)
Enable teams to accelerate development through
AI-assisted coding, testing, and debugging
Automation frameworks and reusable patterns
Improved developer experience and tooling
Collaborate with business, product, architecture, and platform teams to align AI-driven solutions with business outcomes
Drive integration strategies across enterprise systems using API-first and event-driven approaches
Provide technical oversight and leadership for complex programs and cross-functional initiatives
Lead adoption of modern engineering practices, including automation, observability, and test-driven development
Evaluate and recommend emerging technologies in AI, automation, and developer productivity
Support production readiness, troubleshooting, and continuous improvement of application performance and reliability
(Preferred domain responsibility) Contribute to or guide implementations involving Guidewire InsuranceSuite and Digital Solutions
Mentor and develop engineers, fostering a culture of continuous learning, innovation, and AI-driven excellence
May perform additional duties as assigned.
Reporting Relationship
Typically Director or above
Skills, Knowledge & Abilities
AI Engineering & Leadership
Proven experience driving AI-assisted development practices at scale
Hands-on experience with tools such as Claude, GitHub Copilot, Cursor, or similar
Strong ability to evaluate and govern AI-generated code
Demonstrated ability to define standards, frameworks, and best practices
Experience mentoring teams and enabling AI adoption across engineering organizations
Strong understanding of secure coding and compliance in AI-enabled environments
Architecture & Modern Engineering
Strong expertise in cloud-native architecture, microservices, and distributed systems
Experience with API-first, integration, and event-driven architectures
Proven ability to build scalable, production-grade applications
Familiarity with DevOps, CI/CD, and automation frameworks
Technical Skills
Full-stack development expertise (Java/J2EE or similar stack, microservices, UI frameworks)
Strong knowledge of API design, integration platforms, and web services
Excellent problem-solving and decision-making skills
Guidewire & Domain (Preferred / Nice to Have)
Experience with Guidewire InsuranceSuite and Digital
Exposure to Guidewire Cloud Platform and integration patterns
Understanding of P&C insurance domain
Experience with Guidewire Jutro Digital Platform (JDP) is a plus
Soft Skills
Strong leadership, communication, and stakeholder management skills
Ability to influence without authority and drive change across teams
Strong collaboration across distributed and cross-functional teams
Role Differentiators (What Makes This Role Unique)
Focuses on AI-first engineering transformation, not just development
Combines hands-on engineering with leadership and vision-setting
Enables organization-wide productivity gains using AI tools
Opportunity to influence engineering culture, standards, and delivery model
Flexibility to apply AI engineering practices across multiple platforms, not limited to Guidewire
Education & Experience
Bachelor’s degree in computer science or related discipline (or equivalent experience)
Typically, 8+ years of software engineering experience, including
Demonstrated experience in
AI-assisted development / developer productivity transformation
Technical leadership, architecture, or team enablement roles
Experience in enterprise platforms or insurance domain is a plus
Prior exposure to Guidewire implementations preferred but not required
#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 utilizes AI-enabled technology during the recruiting process. For more information, please visit our careers page.
CNA is committed to providing reasonable accommodations to qualified individuals with disabilities in the recruitment process. To request an accommodation, please contact leaveadministration@cna.com
