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Azure AI Engineer

TD Bank


Job Location:

Toronto - Canada

Monthly Salary: Not provided by the employer
Posted: 29 September 2026 (6 days ago)
Application Deadline: 27 December 2026
Vacancies: 1 Vacancy

Job Summary

Contract-to-Hire Hybrid Toronto CA

We are seeking an experienced AI/ML Platform Engineer to design and deliver enterprise-scale AI and machine learning solutions on Azure and GCP. This role focuses on enabling AI/ML capabilities across the organization helping teams build deploy and scale intelligent solutions securely and efficiently.

You will work closely with cloud security and engineering teams to build robust platforms automate AI/ML workflows and ensure compliance with enterprise standards.

Key Responsibilities

  • Design and implement scalable AI/ML platforms and services on Azure (and GCP)
  • Enable and support Generative AI and ML use cases across the business
  • Build and maintain MLOps pipelines for model training deployment and monitoring
  • Develop infrastructure as code using Terraform and CI/CD pipelines (GitHub Actions)
  • Integrate AI/ML services with enterprise systems via APIs and webhooks
  • Ensure secure deployment of data and models following cloud security and compliance standards
  • Collaborate with cross-functional teams (cloud security risk development)
  • Troubleshoot cloud infrastructure networking and performance issues
  • Support automation of AI/ML services and platform capabilities
  • Contribute to DevOps practices within an Agile environment

Required Skills & Experience

  • 3 years experience as an AI/ML Platform Engineer or similar role
  • Strong experience with Azure (preferred) and/or GCP cloud platforms
  • Proficiency in Python APIs and automation scripting
  • Hands-on experience with Terraform CI/CD pipelines and GitHub Actions
  • Experience with MLOps/AIOps practices and model lifecycle management
  • Knowledge of Generative AI RAG architectures and LLM frameworks (e.g. LangChain Semantic Kernel)
  • Understanding of AI ecosystem tools (evaluation monitoring vector databases governance)
  • Experience integrating AI/ML services into enterprise applications
  • Strong understanding of cloud security RBAC and data protection principles
  • Ability to troubleshoot Azure networking (DNS connectivity routing)
  • Strong analytical problem-solving and communication skills

Nice to Have

  • Experience in financial services or regulated environments
  • Familiarity with agentic AI platforms or Copilot ecosystems
  • Knowledge of PKI and certificate management in cloud environments

What Were Looking For

  • A self-starter who can work independently and in a team
  • Strong critical thinking and problem-solving abilities
  • Passion for AI/ML and continuous learning

Required Experience:

IC


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