Overview:

Global Wealth Management Technology (GWMT) is seeking an exceptional and forward-thinking Principal 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 collaborative 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. You will shape cloud-native, secure, and explainable AI/ML systems that enhance advisor intelligence and client experience—while aligning to regulatory, operational, and strategic priorities.
• You won’t just be joining a team—you’ll be helping define the future of AI in wealth management.
• Our engineering culture values autonomy, intellectual rigor, and business alignment. We’re building intelligent platforms that integrate with every layer of our advisory experience.
• You’ll collaborate with industry veterans and technologists who are passionate about impact, precision, and doing meaningful work at scale.
• If you’re looking to shape architectures that endure and solve hard problems that matter—this is your runway.

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 Must have 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.
• Experience shaping platform-level strategies in enterprise environments or across business domains.

What’s In It for You

• You'll get to work with and learn from diverse industry leaders, who have hailed from top technology companies around the world.
• We foster an environment of innovation and continuous learning. We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!
• We provide employees with an environment that is safe, inclusive, and reflective of all communities by promoting fair and equitable treatment and prioritizing unconscious bias and anti-racism training.
• We offer a competitive total rewards package, including a performance bonus, company matching programs (pension & Employee Share Ownership), generous vacation; health/medical/wellness benefits; employee banking privileges.
• When in person collaboration is required, you can take advantage of our new state of the art ecosystems with a design focus on enabling collaboration through both environment and technology.