About the Job
We are seeking a forward-thinking AI Engineering Lead to join our clients innovative team and drive the future of Property & Casualty (P&C) insurance. As an AI Engineering Lead, you will serve as a technical authority and strategic leader in developing and deploying sophisticated AI-powered solutions to drive business value and innovation across the P&C insurance value chain.
Hybrid- 2-3 days on site in Toronto.
Deliverables
- Define and execute the long-term technical strategy for AI-driven business solutions.
- Design and Implement AI solutions using machine learning models (including LLMs, graph neural networks, and computer vision)
- Experience in Fraud or working on a Fraud Detection Platform
- Lead and mentor other AI engineers and data scientists.
- Collaborate with senior leadership to align AI initiatives with business goals.
- Remain at the forefront of advancements in AI and data engineering.
Requirements
- Mastery of Python and deep experience with AI/ML frameworks, ability to write clean, high-performance code in Python, Java, SQL, and Spark.
- Deep expertise in a wide range of AI/ML techniques, building and deploying AI based applications, RAG pipelines, and agent-based workflows.
- Understanding of complex data structures, advanced data modeling, and the management of both structured and unstructured data at scale.
- Extensive hands-on experience architecting and deploying AI solutions on GCP or AWS - Vertex AI and Gemini, is a significant asset.
- Experience designing and working with A2A, MCP, Agentic RAG, and including conventional microservices, and event-drive architecture.
- Expertise in DEV/MLOps, including advanced containerization with Docker and Kubernetes, CI/CD for machine learning, Data, and AI observability.
- Authoritative knowledge of the principles and best practices for building ethical, fair, and transparent AI systems.