AI Engineering Lead

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.

The AI Engineering Lead will define the technical strategy and design AI-powered solutions to drive innovation in the P&C insurance sector. They will also mentor AI engineers and data scientists while aligning technical initiatives with business goals.

Candidates must have mastery of Python and experience with AI/ML frameworks, RAG pipelines, and cloud platforms like GCP or AWS. Expertise in MLOps, containerization, and ethical AI principles is also required.

• KubernetesSouhaitée
• SQLSouhaitée
• DockerSouhaitée
• Apprentissage automatiqueSouhaitée
• Amazon Web ServicesSouhaitée
• JavaSouhaitée
• Google CloudSouhaitée
• PythonSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Python
• Java
• SQL
• Spark
• Machine Learning
• Large Language Models
• Graph Neural Networks
• Computer Vision
• RAG Pipelines
• Agent-based Workflows
• GCP
• AWS
• Vertex AI
• Gemini
• Docker
• Kubernetes

• Technology
• Software
• Data & Analytics
• Management & Leadership
• Engineering

Expérience minimale

5+ ans

Postuler avant le

18 sept. 2026

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Présence au bureau

3 jours par semaine

Niveau d’expérience

Mid-Senior level

Mode de candidature

La candidature directe est offerte