We are looking for a Senior AI Engineer to drive adoption of AI-first software delivery practices across enterprise platforms. This role is responsible for designing, guiding, and delivering AI-enabled, cloud-native solutions, while enabling teams to effectively leverage AI-assisted engineering tools to improve productivity, quality, and speed of delivery. This is a hands-on leadership role that combines strong engineering fundamentals with the ability to set vision, establish standards, and mentor teams in adopting AI-driven development practices. Experience with Guidewire platform and insurance domain is a strong plus. JOB DESCRIPTION: Essential Duties & Responsibilities Performs a combination of dutiesin accordance withdepartmental 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 GuidewireInsuranceSuiteand Digital Solutions • Mentor and develop engineers, fostering a culture of continuous learning, innovation, and AI-driven excellence May performadditionalduties as assigned. Reporting Relationship TypicallyDirector 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 GuidewireInsuranceSuiteand Digital • Exposure to Guidewire Cloud Platform and integration patterns • Understanding of P&C insurance domain • Experience with GuidewireJutroDigital 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