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 systems Design machine learning solutions for insurance business problems Prototype novel AI and data engineering techniques Provide technical guidance on complex AI projects Collaborate with business, product, underwriting, and claims teams Requirements:
Deep expertise across AI and machine learning techniques Clean, high-performance coding experience in Python, Java, SQL, and Spark Experience architecting AI solutions on Google Cloud or AWS Google Cloud, Vertex AI, and Gemini experience is valuable Degree in computer science, engineering, data science, or related field Apply machine learning architecture, cloud engineering, and AI integration expertise to Definity’s P&C insurance innovation agenda.
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Machine Learning Architecture Lead in Toronto employer: Definity
Definity is an exceptional employer that fosters a collaborative and inclusive work culture, making it a great place for professionals in business development. With a focus on employee growth, the company offers hybrid work schedules, share ownership programs, and educational resources, ensuring that team members can thrive both personally and professionally. Located in Canada, Definity is committed to diversity and equity, providing unique benefits like paid volunteer days and support for various employee needs, making it a truly rewarding workplace.
