Senior Engineer, AI Platform - Business Technology

Company Overview

Biz Tech 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." We emphasize speed, agility, and efficiency, backed by a culture of continuous process improvement, data‑driven decision‑making, and balanced risk and controls. You’ll join the AI Platform group, working across cloud, data, security, and application teams to power AI‑enabled workflows for employees worldwide.

• 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 when 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 Dev Sec Ops  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 Biz Tech’s tiered AI support model, handling complex, platform‑level issues and novel AI bugs, and feeding runbooks, documentation, and tooling improvements back into the system.
• Contribute to Biz Tech’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.
• Design, deploy, and operate AI‑powered workloads on AWS Bedrock Agent Core Runtime, including configuring IAM roles and policies, managing Claude model invocation endpoints, and implementing VPC networking and Private Link for secure agent-to-service communication.
• Leverage Claude Code as a primary development accelerator—using it for code generation, test authoring, refactoring, and debugging across Python and infrastructure‑as‑code projects, with proficiency in crafting CLAUDE.md standards and MCP server integrations for automated workflows.
• Build observability and guardrails to handle failure modes such as tool errors, hallucinations, and policy violations at production scale.
• Apply context‑window management best practices, evaluate model outputs critically, and iterate on prompt strategies to ensure reliability and accuracy in production agentic systems.
• Promote a culture of curiosity, innovation, and responsible use of AI—empowering teams to continuously leverage emerging technologies and data‑driven insights.

• 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.
• Proficiency in at least one backend language (e.g., Python or Java).
• Working experience with AI/LLM/RAG concepts, prompt design, evaluations, and knowledge of when to use which AI tools and models.
• 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 No
  
  SQL databases and RESTful or Graph
  
  QL API design patterns.
• Hands‑on experience with AWS, containers/Kubernetes, and modern Dev Sec Ops  tooling such as Git Hub, Artifactory, Jenkins, and…