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Toronto, ON, CAN, Canada
Onsite
Application Deadline:
Address:
33 Dundas Street WestJob Family Group:
Senior Cloud Engineer – ML/AI Platform
We are seeking a Senior Cloud Engineer with deep expertise in AWS and Azure AI/ML services to drive our enterprise ML/AI platform capabilities. You will evaluate and enable cloud AI/ML services, build reusable architectural patterns, and develop automated MLOps solutions in a highly regulated banking environment. This role requires hands-on experience with modern AI/ML platforms and the ability to design secure, compliant solutions that accelerate AI adoption across the organization.
What You Will Do
• Evaluate and enable AWS and Azure AI/ML services (SageMaker, Bedrock, Azure OpenAI, Azure AI Foundry) through proof-of-concepts and comprehensive assessments
• Design and implement reusable architectural patterns for secure AI/ML integrations including private endpoints, customer-managed keys, and service-to-service authentication
• Build end-to-end MLOps platforms and automated ML pipelines for model training, evaluation, deployment, and monitoring
• Produce technical reports on security, networking, compliance, guardrails, and cost analysis for AI/ML service enablement
• Develop frameworks, infrastructure-as-code, and automation to accelerate AI/ML adoption
• Implement observability solutions with model monitoring, metrics, and drift detection
• Partner with Enterprise Architecture and senior stakeholders to align platform capabilities with strategic roadmaps
• Provide technical leadership and mentorship on AI/ML cloud best practices
What You Need to Succeed
Must Have
• 5-7 years of cloud engineering experience with 3+ years focused on AI/ML platforms
• Deep hands-on expertise with AWS AI/ML services: SageMaker (training, pipelines, inference, JumpStart), Bedrock
• Deep hands-on expertise with Azure AI/ML services: Azure Machine Learning, Azure OpenAI, Azure AI Foundry
• Experience building MLOps platforms and automated ML pipelines
• Strong knowledge of LLMOps, LLM lifecycle management, agentic AI, RAG (retrieval-augmented generation), and prompt engineering
• Experience implementing guardrails and governance for LLM services
• Proficiency in Python and infrastructure-as-code (Terraform, CloudFormation, ARM/Bicep)
• Experience with MLflow(or similar tool), experiment tracking, and model registries
• Expertise in cloud security patterns including private endpoints, customer-managed keys, and network isolation for AI/ML services
• Strong understanding of cloud networking architecture in regulated environments
• Experience working in highly regulated industries with compliance requirements
• Agile delivery experience
Nice to Have
• AWS or Azure AI/ML certifications
• Experience with vector databases and embedding models
• Knowledge of model optimization and inference acceleration
• Background in financial services or banking
Salary:
Pay Type:
The above represents BMO Financial Group’s pay range and type.
Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.
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. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards
About Us
At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.
As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.
To find out more visit us at https://jobs.bmo.com/ca/en.
BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.
Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.