Senior AI Engineer - Guidewire
Job Description
Responsibilities
- Define and drive the AI-first engineering vision and strategy across development teams, promoting AI-assisted development practices
- Lead and mentor engineering teams in using AI tools effectively and responsibly, including GitHub Copilot, Claude, and Cursor
- Establish governance models and best practices for AI-assisted development to ensure quality, security, compliance, and maintainability of generated code
- 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 microservices, event-driven architecture, and CI/CD
- Accelerate development through AI-assisted coding, testing, debugging, automation frameworks, reusable patterns, and improved 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
- Contribute to or guide implementations involving Guidewire InsuranceSuite and Digital Solutions (preferred)
- Mentor and develop engineers, fostering a culture of continuous learning, innovation, and AI-driven excellence
- May perform additional duties as assigned
Requirements
- Proven experience driving AI-assisted development practices at scale
- Hands-on experience with Claude, GitHub Copilot, Cursor, or similar tools
- 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
- 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
- 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
- Experience with Guidewire InsuranceSuite and Digital
- Exposure to Guidewire Cloud Platform and integration patterns
- Understanding of the P&C insurance domain
- Experience with Guidewire Jutro Digital Platform (JDP) is a plus
- 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
Technologies
- GitHub Copilot
- Claude
- Cursor
- Guidewire InsuranceSuite
- Guidewire Digital Solutions
- Guidewire Cloud Platform
- Guidewire Jutro Digital Platform (JDP)
- Java/J2EE
- UI frameworks
Reporting Relationship
Typically Director or above.
AI Engineering & Leadership
- Proven experience driving AI-assisted development practices at scale
- Hands-on experience with 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
- Experience with Guidewire InsuranceSuite and Digital
- Exposure to Guidewire Cloud Platform and integration patterns
- Understanding of the 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
- Focuses on an AI-first engineering transformation, not merely development
- Combines hands-on engineering with leadership and vision-setting
- Enables organization-wide productivity gains through AI tooling
- Opportunity to influence engineering culture, standards, and delivery models
- 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 AI-assisted development or developer productivity transformation
- Experience in technical leadership, architecture, or team enablement roles
- Experience in enterprise platforms or the insurance domain is a plus
- Prior exposure to Guidewire implementations is preferred but not required