Senior AI Engineer Posted on October 14, 2025 by Scotiabank Job details Requisition ID: Join a purpose-driven winning team, committed to results, in an inclusive and high-performing culture. Overview Global Wealth Management Technology (GWMT) is seeking an exceptional and forward-thinking Senior AI Engineer to help shape and execute the next generation of intelligent solutions within GWMT. This role is ideal for a highly competent engineer with 7‑9 years of hands‑on experience who can architect robust AI/ML systems, align with enterprise strategy, and elevate technical excellence across domains. You will play a pivotal role in translating business vision into AI‑driven outcomes, championing scalable design, and fostering a cooperative engineering culture. Why Join Us Scotiabank's Global Wealth Management (GWM) division empowers millions of clients worldwide with personalized financial planning, investment strategies, and advisory services. As part of GWMT, you'll work on high‑impact problems that blend financial insight with advanced machine learning. Shape cloud‑native, secure, and explainable AI/ML systems that enhance advisor intelligence and client experience while aligning to regulatory, operational, and strategic priorities. Our engineering culture values autonomy, intellectual rigor, and business alignment. We are building intelligent platforms that integrate with every layer of our advisory experience. Collaborate with industry veterans and technologists passionate about impact, precision, and doing meaningful work at scale. Key Responsibilities Architect scalable and secure ML solutions using cloud‑native technologies (Azure, GCP) and distributed processing frameworks. Lead the design, integration, and optimization of complex AI/ML systems including RAG, agentic workflows, and multi‑model orchestration. Develop and maintain advanced ML Ops pipelines with robust CI/CD, testing, retraining, and observability baked in.



Translate evolving business objectives and regulatory requirements into practical AI frameworks and platform capabilities. Own technical vision and best practices around explainability, privacy, compliance (e.G., PIPEDA, GLBA, GDPR), and governance. Collaborate closely with engineering leads, enterprise architects, and data teams to establish end‑to‑end ML infrastructure that is resilient, performant, and measurable. Mentor senior and junior engineers alike, guiding architectural reviews, solution scoping, and delivery excellence. Minimum Qualifications 7‑9 years of experience building and deploying AI/ML systems in production, with a track record of leading end‑to‑end architecture. Demonstrated experience with financial services data, models, and regulatory environments (e.G., compliance logging, auditability, explainability). Strong applied experience with retrieval‑augmented generation (RAG) systems and vector databases, including Azure Cognitive Search, GCP Matching Engine, FAISS, or Weaviate. Proficiency in orchestration frameworks such as LangChain, LlamaIndex, or Semantic Kernel. Hands‑on expertise in infrastructure‑as‑code tools such as Terraform, ARM, or Pulumi. Deep understanding of ML lifecycle tools, including Airflow, MLflow, Kubeflow, and model registry/versioning. Expertise in observability stacks such as Prometheus, Grafana, Azure Monitor, or GCP Cloud Logging. Cloud‑native deployment skills (Azure ML, Vertex AI) and containerization (Docker, Kubernetes). Preferred Skills Experience designing federated learning systems or privacy‑preserving ML architectures. Familiarity with AI risk and controls frameworks (e.G., model validation, fairness auditing, adversarial robustness). Ability to present and defend architectural decisions to both technical and executive audiences. Contributor to open‑source ML/AI tools or research publications. Location and Compensation Location: Toronto, ON Work location: On site Salary: $33.46 to $84.62 per hour Terms of employment: Permanent employment, Full time Start date: As soon as possible Vacancies: 1 vacancy Source: CareerBeacon # Advertised until #J-18808-Ljbffr

📌 Software Design Engineer - C$33.5 - C$84.6 An Hour (Toronto)
🏢 Scotiabank
📍 Toronto