Senior Engineer, AI Platform - Business Technology

Guidewire SoftwareSan Mateo, CA
Hybrid

About The Position

BizTech is Guidewire’s internal technology organization, focused on enabling Guidewire’s growth to $2B by delivering innovative, resilient solutions, value‑add services, and excellent employee experiences as “One Global Team.” The AI Platform group works across cloud, data, security, and application teams to power AI‑enabled workflows for employees worldwide. This Senior Engineer role designs, builds, and operates the core AI platform that gives Guidewire teams secure, reliable access to AI tools, agents, and AI‑powered applications. The role involves working across the full stack—front‑end, back‑end, and platform services—to deliver production‑ready capabilities that embed AI into everyday work. The Senior Engineer will partner closely with product, design, Security, and DevSecOps to deliver high‑impact solutions that advance Guidewire’s mission to transform how the world’s P&C insurers do business through cloud, analytics, and AI. In the first months, the engineer will get hands‑on with the AI platform, development stack, and BizTech’s FY26 priorities, pairing with senior teammates to ship secure platform services and internal AI‑powered applications. By six months, the engineer will lead end‑to‑end delivery for high‑complexity AI platform projects, such as new agent capabilities, observability improvements, or secure integrations that support strategic initiatives like the Agent Platform Architecture and citizen developer expansion, measured by adoption, reliability, and user satisfaction. This work directly advances Guidewire’s mission to combine digital, core, analytics, and AI into a cloud platform that helps P&C insurers operate more efficiently and confidently, while also elevating engineering practices and AI fluency across BizTech and the wider company. Guidewire fosters a culture of curiosity, innovation, and responsible use of AI, empowering teams to continuously leverage emerging technologies and data-driven insights to enhance productivity and outcomes. Guidewire is the platform P&C insurers trust to engage, innovate, and grow efficiently, combining digital, core, analytics, and AI to deliver its platform as a cloud service to over 540 insurers in 40 countries. The company is committed to customer success, with an unparalleled implementation track record and the largest R&D team and partner ecosystem in the industry. Guidewire Software, Inc. is an equal opportunity and affirmative action employer, committed to an inclusive workplace and diversity.

Requirements

  • Demonstrated ability to embrace AI and apply it to your current role as well as data-driven insights to drive innovation, productivity, and continuous improvement.
  • Education & experience: Bachelor’s degree in Computer Science, MIS, or a related technical field (or equivalent work experience) and typically 5+ years of engineering experience building and operating production systems or platforms.
  • Programming: Proficiency in at least one backend language (e.g., Python or Java).
  • AI & LLM familiarity: Working experience of AI/LLM/RAG concepts, prompt design, evaluations, and when to use which AI tools and models.
  • Full-stack development: Hands-on experience building and shipping full-stack web applications using modern front-end frameworks (e.g., React, Vue, or Angular) alongside back-end API development in Python or similar languages, with familiarity in relational or NoSQL databases and RESTful or GraphQL API design patterns.
  • Cloud & DevSecOps: Hands‑on experience with AWS, containers/Kubernetes, and modern DevSecOps tooling such as GitHub, Artifactory, Jenkins, and related CI/CD pipelines.
  • Identity, security, and integrations: Practical experience building secure integrations using OAuth, scopes, and policies; comfortable debugging end‑to‑end auth flows and working with Security/Identity teams to resolve issues.
  • Product collaboration: Demonstrated ability to partner with product managers and cross‑functional stakeholders—translating business requirements into technical designs, making trade‑offs explicit, and communicating status and risk succinctly.

Responsibilities

  • Design, build, and operate core AI platform services that provide a secure, governed access point to AI tools and agents across multiple models and providers (e.g., Anthropic, OpenAI, Google, and internal services).
  • Design and build AI‑powered, full‑stack applications end‑to‑end—from intuitive React‑based front‑ends to robust back‑end APIs—ensuring seamless integration with AI platform capabilities and a great employee experience.
  • Collaborate with product and design partners to translate requirements into polished, accessible, and secure production features, using sound engineering judgment in selecting patterns, frameworks, and tools.
  • Engineer secure integrations across cloud and identity systems (e.g., Okta, SSO, RBAC) using Python or similar languages, partnering closely with Security and DevSecOps to uphold Guidewire’s standards for security and compliance.
  • Enhance observability and reliability of AI platform components by implementing logging, metrics, tracing, dashboards, and alerting that support incident triage, root‑cause analysis, and continuous improvement.
  • Participate in BizTech’s tiered AI support model, handling complex, platform‑level issues and novel AI bugs, and feeding runbook, documentation, and tooling improvements back into the system.
  • Contribute to BizTech’s FY26 priorities by supporting the Agentic Platform architecture, GenAI engineering excellence, and expansion of citizen developer and agent platforms that target growth in AI agent usage.
  • Mentor and coach associate and mid‑level engineers through design discussions, pairing, and code reviews, helping them apply AI tools (such as coding assistants) and platform standards effectively while raising the overall engineering bar.

Benefits

  • Flexible work environment
  • Health and Wellness benefits
  • Paid time off programs including volunteer time off
  • Market-competitive pay and incentive programs
  • Continual development and internal career growth opportunities
  • Health, dental, and vision insurance
  • Company sponsored retirement plan
  • Annual company bonus plan
  • Commissions
  • Long term incentive awards
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