Application Deadline:
08/30/2026
Address:
1630 Chicago Road
Job Family Group:
Technology
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:
$81,400.00 - $151,800.00
Pay Type:
Salaried
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
