Job Family Group: Data Analytics & Reporting The Senior Applied AI Engineer is responsible for designing, developing, and deploying advanced Gen AI and machine learning solutions that drive business value in Wealth Management. This role blends deep technical expertise with financial domain knowledge, collaborating with cross-functional teams to deliver scalable, secure, and compliant AI products. Contribute to the overall Wealth Management AI strategy formulation and execution Liaise with relevant technology teams to build and deploy Gen AI solutions Lead the solution development, from ideation to prototyping and liaise with our partners to facilitate production and monitoring.

Collaborate with product managers, data scientists, engineers, and business stakeholders to translate requirements into technical solutions. Integrate AI solutions with existing platforms (CRM, portfolio management, data warehouses) and ensure interoperability. In collaboration with the risk and RAIOps teams, ensure all AI solutions meet performance, security, and regulatory standards.

Leverage best practices in MLOps, model governance, and responsible AI. Stay current with industry trends, emerging AI technologies in financial services AI. Document technical designs, create demos, and support enablement and adoption across the organization.

Advanced proficiency in Python and machine learning frameworks (TensorFlow, PyTorch, scikit-learn).

Experience building Copilot Studio Agents. Strong understanding of cloud platforms (Azure, AWS, GCP) and MLOps tools (MLflow, Kubeflow, Airflow). Familiarity with financial services workflows, data privacy, and compliance requirements.





Robust hands-on experience with both AWS and Azure cloud environments, including their AI/ML, data, and deployment toolsets (e.g., SageMaker, S3, Lambda, Azure Functions, Azure ML, Blob Storage) Proficiency with Kubernetes for container orchestration and deployment of scalable AI solutions.

Experience with Docker, and CI/CD pipelines Expertise in data engineering, model deployment, and monitoring. Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field. ~10+ years of experience in AI/ML engineering, with at least 2 years in financial services or regulated industries or a combination of relevant experience and education. ~ Proven track record of designing and deploying production-grade AI solutions. ~ Experience working in Agile teams and collaborating with cross-functional stakeholders. ~ Demonstrated ability to mentor and lead technical teams. ~ Gen AI, Mathematics, Critical thinking, Creative reasoning, Computational Thinking and Programming, Deep Learning, Machine Learning, Scaling Models, Continuous Integration and Continuous Delivery/Deployment, ML algorithm, Verbal & written communication skills, Analytical and problem solving skills, Influence skills, Collaboration & team skills; BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans.

It calls on us to create lasting, positive change for our customers, our communities and our people.

📌 Applied AI Engineer (Toronto)
🏢 BMO
📍 Toronto