Software Engineer III; AI​/ML

Summary

About Guidewire
Guidewire is a global leader in cloud-based platforms for property and casualty (P&C) insurers, combining digital, core, analytics, and AI to deliver innovative solutions that help insurers modernize and thrive. Our mission is to transform the way the world’s P&C insurers do business, and we are committed to customer success, continuous improvement, and a culture of collaboration and inclusion.

Your Career. Your Adventure.
At Guidewire, we believe great work happens when people are empowered to engage meaningfully, innovate boldly, and grow with purpose and efficiency. Whether you are building the future of insurance tech or your own career, every experience here is backed by trust, support, and real opportunity.

The Opportunity
Are you passionate about building large-scale, next-generation Generative AI (GenAI) capabilities? Do you thrive in cross-functional teams tackling mission-critical business challenges? Are you experienced in designing agentic workflows and integrating state-of-the-art LLM, ML, and MCP (Model Context Protocol) technologies?

Join our highly collaborative Solution Engineering and Operations team to design and deliver intelligent, next-generation services and solutions powered by cutting-edge AI innovation.

Job Description

• 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 Lang Chain, Llama Index, 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.
• Ensure scalability, performance, and security of AI workloads in multi-tenant cloud environments (AWS, Kubernetes).
• Participate in architecture reviews and define MCP-compliant interfaces for consistent, safe model–tool interactions.

• 5+ years of software engineering experience, with exposure to AI/ML and backend platform development.
• Proficiency in Python, Type Script, 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 (Lang Chain, Lang Graph, 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.
• Knowledge of authentication and security standards, including OAuth2, JWT, and secure coding practices.
• Experience with databases such as PostgreSQL or DynamoDB.
• Passion for building intelligent platforms that leverage AI to improve efficiency, reliability, and automation.
• BS/MS in Computer Science or a related field, or equivalent professional experience.

• Experience with additional AI/ML frameworks or cloud platforms.
• Exposure to insurance technology or enterprise SaaS environments.
• Contributions to open-source AI/ML projects.
• Experience with ethical AI and governance best practices.