BMO Financial Group

Lead enterprise-scale machine learning and AI initiatives at BMO, from solution design through production deployment and support. Build production-ready Python and AWS solutions while guiding architecture, MLOps adoption, and cross-functional delivery.

BMO is seeking a hands-on Artificial Intelligence & Data Architect to lead enterprise AI and data architecture while continuing to code, particularly in Python. The role shapes AI adoption, designs production-grade AI/ML solutions, and defines scalable cloud and data platform capabilities.

Software Developer responsible for building, integrating, deploying, and supporting Java payment-processing applications using WebSphere, SQL, MQ, and Linux. The role spans the full software development lifecycle, including requirements analysis, coding, testing, troubleshooting, maintenance, and production support.

Senior Application Developer responsible for designing, building, and owning complex enterprise applications and services using Java, Spring Boot, AWS, and modern integration technologies. The role combines hands-on software development, technical leadership, mentorship, production support, and responsible use of AI-assisted engineering tools.

Build and support data and AI products at BMO, contributing across design, development, testing, implementation, and production support. The role combines data engineering, automation, cloud technologies, and AI-enabled development.

BMO is hiring an early-career Machine Learning Developer in Toronto to build, deploy, and support machine learning applications and cloud-based solutions. The role combines Python development, AWS serverless technologies, and end-to-end machine learning workflows.

Lead QA and controls testing for electronic and algorithmic trading platforms, ensuring functionality, stability, audit readiness, and regulatory compliance. The role partners across Trading, Quantitative Research, Technology, Risk, and Compliance.

Principal Azure Cloud Platform Engineer responsible for designing, building, and operating secure, scalable Azure infrastructure and shared platform services. The role focuses on platform engineering, Infrastructure as Code, automation, governance, and enabling engineering teams across a large regulated enterprise.