Base: canadian cad range not specified; bonus/equi...
Not specified
8+ years ml/ai implementation experience
2+ years building llm-driven applications
Proven track record deploying agentic workflows
Guidewire is seeking a Senior AI Engineer to define and drive orchestration architecture for agentic flows in the insurance domain. The ideal candidate will have extensive experience in AI/ML technologies, particularly with LLM-driven applications, and will contribute to the development and evaluation of agentic workflows
Job Summary
The role involves defining the architecture for complex agentic flows to ensure reliability and seamless integration into the Guidewire ecosystem.
Candidates must possess deep expertise in translating intricate insurance logic into agentic reasoning patterns while adhering to strict regulatory constraints.
Guidewire offers a culture of curiosity and innovation where employees can leverage emerging technologies to enhance productivity and outcomes.
Matching Summary
Match Score: 85
Guidewire is seeking a Senior AI Engineer to define and drive orchestration architecture for agentic flows in the insurance domain. The ideal candidate will have extensive experience in AI/ML technologies, particularly with LLM-driven applications, and will contribute to the development and evaluation of agentic workflows.
Salary
Base: Canadian CAD range not specified; Bonus/Equity: Eligible for annual company bonus plan and long-term incentive awards contingent on performance; Benefits: Health, dental, vision insurance, paid time off, and company-sponsored retirement plan
Skills & Requirements
Must-have
8+ years ML/AI implementation experience
2+ years building LLM-driven applications
Proven track record deploying agentic workflows
Deep expertise in orchestration frameworks like LangGraph
Advanced Python skills with state-of-the-art LLMs
Experience in highly regulated industries like P&C Insurance
Nice-to-have
Experience with graph-based data structures
Knowledge of small language model optimization
Creative builder mindset for greenfield projects
Ability to explain agent decisions to executives
Key Requirements
8+ years implementing ML/AI technologies
At least 2 years focused on scaling LLM-driven applications
Demonstrated experience taking AI models to high-availability environments in regulated industries