Job Description

Requirements
● Experience: 10+ years of professional experience in software engineering and
implementing ML/AI technologies at scale.
● Modern AI Mastery: Deep expertise in Natural Language Processing (NLP), with a proven track record of building and deploying LLM-based applications, RAG
architectures, and vector databases.
● Full-Stack ML Lifecycle: Demonstrated experience taking AI models from experimental notebooks to high-availability production environments, ideally within highly regulated industries like insurance or finance.
● Technical Proficiency: Advanced programming skills in Python; deep familiarity with modern AI frameworks (e.g., PyTorch, LangChain, LlamaIndex) and data processing libraries.
● Cloud Native: Strong experience with cloud-scale infrastructure, preferably AWS, and a solid understanding of MLOps best practices.
● Problem Solving: A creative builder mindset, comfortable navigating the ambiguity of greenfield projects and evolving technologies.

● Communication: Exceptional ability to synthesize complex technical concepts for executive stakeholders while maintaining deep technical credibility with engineering teams.
● Collaboration: A highly collaborative approach to cross-functional work, with the ability to influence without formal authority and execute against a long-term product vision.

The Canadian CAD base salary range for this full-time position is $169,000 - $211,000. 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.