AI Engineering Lead P&C Insurance
3 days ago
Toronto ON, Toronto Census Division, ON; Ontario, Canada
Definity
Full-time
Free with email or Google
Save this job and keep your search organized
Create a free account to save jobs, create alerts and return to this listing from your dashboard.
Free with email or Google
By continuing, you agree to our Terms & Privacy Policy.
Lead AI engineering for Definity’s P&C insurance business, combining Python mastery with scalable machine learning and responsible AI expertise. Work in a flexible hybrid experience.
As AI Engineering Lead, you will serve as a technical authority and strategic leader. Architect AI and data platforms, guide engineers and data scientists, and set technical direction across underwriting, pricing, claims, and customer experience. Build production-grade applications using LLMs, graph neural networks, computer vision, RAG pipelines, and agent-based workflows.
Key Responsibilities
Define long-term technical strategy for AI-driven business solutions Lead scalable, real-time AI system architecture and development Own fraud prevention data, modeling, and production workflows Mentor AI engineers and data scientists through complex projects Align AI initiatives with leadership, underwriting, and claims teams
Requirements:
Mastery of Python and experience with Java, SQL, and Spark Hands-on experience deploying AI applications, RAG, and agent workflows Cloud architecture experience with Google Cloud or AWS Experience with A2A, MCP, Agentic RAG, and microservices Eight-plus technology years and three-plus fraud production years Bring AI architecture, fraud prevention, and technical leadership to Definity’s innovative property and casualty insurance platforms. #J-18808-Ljbffr
Key Responsibilities
Define long-term technical strategy for AI-driven business solutions Lead scalable, real-time AI system architecture and development Own fraud prevention data, modeling, and production workflows Mentor AI engineers and data scientists through complex projects Align AI initiatives with leadership, underwriting, and claims teams
Requirements:
Mastery of Python and experience with Java, SQL, and Spark Hands-on experience deploying AI applications, RAG, and agent workflows Cloud architecture experience with Google Cloud or AWS Experience with A2A, MCP, Agentic RAG, and microservices Eight-plus technology years and three-plus fraud production years Bring AI architecture, fraud prevention, and technical leadership to Definity’s innovative property and casualty insurance platforms. #J-18808-Ljbffr