Guidewire is looking to solve the problem of building large-scale, next-generation Generative AI (GenAI) capabilities to transform the way property and casualty (P&C) insurers do business
Requirements
- 5+ years of software engineering experience, with exposure to AI/ML and backend platform development
- Proficiency in Python, TypeScript, or JavaScript, with strong coding and debugging skills
- Hands-on experience with cloud and container technologies such as AWS, Docker, and Kubernetes
- Familiarity with AI orchestration frameworks (LangChain, LangGraph, CrewAI) and GenAI design patterns such as RAG, ReAct, and agent-based reasoning
- Experience building or integrating MCP servers to manage tools, context, and state across LLMs and external systems
- Expertise with LLM APIs (OpenAI, Claude, Gemini, etc.) and multi-model orchestration
- Strong foundation in API design, microservice architecture, and event-driven systems
Responsibilities
- Design, build, and maintain scalable microservices and APIs that power AI capabilities across core solutions and offerings
- Develop Generative AI pipelines using frameworks such as LangChain, LlamaIndex, and MCP-based integrations to enable context-aware reasoning and action orchestration
- Collaborate with ML engineers and data scientists to integrate and operationalize models from providers like OpenAI and Anthropic
- Design and deploy ML models that drive predictive insights, anomaly detection, and automated decision-making
- Design and extend MCP servers to define, expose, and manage tools accessible to LLMs
- Implement continuous evaluation and retraining workflows to ensure models remain accurate and relevant as business data evolves
- Work closely with platform teams to align ML and GenAI components with enterprise standards for security, reliability, and performance
Other
- BS/MS in Computer Science or a related field, or equivalent professional experience
- 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
- Flexible work environment, including hybrid options
- Comprehensive health and wellness benefits
- Paid time off programs, including volunteer time off
- Market-competitive pay and incentive programs
