SummaryThe 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 DescriptionWhat You'll Do- 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.
- 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.
What You'll Bring- 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.
- 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.
Bonus Skills- 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.
What's in it for You- 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.
- Continual development and internal career growth opportunities.
- In-person orientation process for all new hires, fostering connection and collaboration from day one.
The US base salary range for this full-time position is $114,000 - $202,000. Your base pay will depend on your experience, skills, education, training, and location among other factors. All full-time positions or part-time roles working 30 hours or more a week at Guidewire are eligible for benefits that support their health and well-being including health, dental, and vision insurance, paid time off, and a company sponsored retirement plan. In addition, some roles may be eligible for the annual company bonus plan, commissions, and/or long term incentive awards which are contingent on a variety of factors including, but not limited to, company and employee performance.
