Shape machine learning architecture for Definity’s insurance platforms, using Python, cloud AI, and production-grade engineering to solve complex P&C challenges. The work is hybrid.This AI Engineering Lead sets technical direction for next-generation AI and data platforms. You will design scalable applications, mentor technical teams, and translate insurance problems into actionable strategies. Your work spans LLMs, graph neural networks, computer vision, AI integration, and responsible AI across the value chain.Key Responsibilities: Architect and develop scalable real-time AI systemsDesign machine learning solutions for insurance business problemsPrototype novel AI and data engineering techniquesProvide technical guidance on complex AI projectsCollaborate with business,



product, underwriting, and claims teamsRequirements: Deep expertise across AI and machine learning techniquesClean, high-performance coding experience in Python, Java, SQL, and SparkExperience architecting AI solutions on Google Cloud or AWSGoogle Cloud, Vertex AI, and Gemini experience is valuableDegree in computer science, engineering, data science, or related fieldApply machine learning architecture, cloud engineering, and AI integration expertise to Definity’s P&C insurance innovation agenda.#J-18808-Ljbffr

📌 Machine Learning Architecture Lead (Toronto)
🏢 Definity
📍 Toronto