Job description

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 What 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. About Guidewire Guidewire is the platform P&C insurers trust to engage, innovate, and grow efficiently. We combine digital, core, analytics, and AI to deliver our platform as a cloud service. More than 540 insurers in 40 countries, from new ventures to the largest and most complex in the world, run on Guidewire. As a partner to our customers, we continually evolve to enable their success. We are proud of our unparalleled implementation track record with 1600 successful projects, supported by the largest R&D team and partner ecosystem in the industry. Our Marketplace provides hundreds of applications that accelerate integration, localization, and innovation. For more information, please visit www.guidewire.com and follow us on Twitter: Guidewire_PandC. Guidewire Software, Inc. is proud to be an equal opportunity and affirmative action employer. We are committed to an inclusive workplace, and believe that a diversity of perspectives, abilities, and cultures is a key to our success. Qualified applicants will receive consideration without regard to race, color, ancestry, religion, sex, national origin, citizenship, marital status, age, sexual orientation, gender identity, gender expression, veteran status, or disability. All offers are contingent upon passing a criminal history and other background checks where it s applicable to the position. Guidewire is proud to be a disability inclusive employer. We are committed to providing individualized accommodations and support to candidates for any part of our hiring process. If you think you may need disability-related accommodations, please email EmployAbility at accommodations-gw employ-ability.org.uk, our disability partner, or schedule a call with an EmployAbility expert (calendar booking slot) for a confidential conversation.

Requirements

Must-haves

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.
What 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.
Exposure to insurance technology or enterprise SaaS environments.
Contributions to open-source AI/ML projects.

Nice-to-haves

Bonus Skills Experience with additional AI/ML frameworks or cloud platforms.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aillmmlawskubernetespythontypescriptjavascriptdockerreactapi

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

Paid Time Off

Wellness