Senior Cloud Engineer AI at BMO - ScoutJobs - The AI-curated global job board
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Posted 6 hours ago

Senior Cloud Engineer AI

BMOSenior Cloud Engineer AI

Perks & benefits

Health InsuranceTransportationEducation AllowanceAccommodation

Requirements

5-7 years cloud engineering experience, 3+ years AI/ML platform focus, Expertise in AWS SageMaker and Bedrock, Expertise in Azure Machine Learning and OpenAI, Experience with MLOps and automated ML pipelines, Knowledge of LLMOps, RAG, and prompt engineering, Proficiency in Python, Infrastructure-as-code (Terraform, CloudFormation, Bicep), Experience with MLflow, Cloud security and networking expertise

Skills

AWSAzurePythonTerraformMLOpsSageMaker

About the role

Responsibilities

  • Evaluate and enable AWS and Azure AI/ML services including SageMaker, Bedrock, Azure OpenAI, and Azure AI Foundry through proof-of-concepts.
  • Design and implement reusable architectural patterns for secure AI/ML integrations, focusing on private endpoints and service-to-service authentication.
  • Build end-to-end MLOps platforms and automated ML pipelines for model training, evaluation, deployment, and monitoring.
  • Develop frameworks and infrastructure-as-code to accelerate AI/ML adoption across the enterprise.
  • Implement observability solutions including model monitoring, metrics, and drift detection.
  • Produce technical reports regarding security, networking, compliance, and cost analysis for AI/ML service enablement.
  • Partner with Enterprise Architecture and senior stakeholders to align platform capabilities with strategic roadmaps.

Requirements

  • 5-7 years of cloud engineering experience with at least 3 years focused on AI/ML platforms.
  • Deep hands-on expertise with AWS AI/ML services (SageMaker, Bedrock) and Azure AI/ML services (Azure Machine Learning, Azure OpenAI, Azure AI Foundry).
  • Proven experience building MLOps platforms and automated ML pipelines.
  • Strong knowledge of LLMOps, LLM lifecycle management, agentic AI, RAG (retrieval-augmented generation), and prompt engineering.
  • Proficiency in Python and infrastructure-as-code tools such as Terraform, CloudFormation, or Bicep.
  • Experience with MLflow or similar tools for experiment tracking and model registries.
  • Expertise in cloud security patterns, including private endpoints, customer-managed keys, and network isolation.
  • Experience working in highly regulated industries with strict compliance and networking requirements.

Preferred Qualifications

  • 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.

About the Company

BMO is a leading bank driven by a single purpose: to Boldly Grow the Good in business and life. As the 8th largest bank in North America by assets, we provide personal and commercial banking, wealth management, and investment services to more than 12 million customers globally.

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Senior Cloud Engineer AI

BMO · Toronto

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