Senior AI Engineer - Java

Essential Duties & Responsibilities 

Performs a combination of duties in accordance with departmental guidelines: 

• Define and drive the AI-first engineering vision and strategy across development teams, promoting adoption of AI-assisted development practices 

• Lead and mentor engineering teams in using AI tools (e.g., GitHub Copilot, Claude, Developer Assistants) effectively and responsibly 

• Establish governance models and best practices for AI-assisted development, ensuring 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 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 

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