## AI/ML Platform EngineerApply: Hybrid: Toronto, Ontario: Full time: Posted Today: End Date: September 23, 2026 (13 days left to apply): R _ **Work Location:**Toronto, Ontario, Canada**Hours:**37.5**Line of Business:**Technology Solutions**Pay Details:**$96,900 - $136,800 CADThis role is temporarily eligible for a pay premium above the posted salary range that is reassessed annually. You are encouraged to have an open dialogue with your recruiter who can provide more specific pay details for this role.TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.**Job Description:**We are looking for AI / ML Platform Engineer to deliver enterprise Gen AI capabilities and solutions on coding assistant platforms. The perfect candidate will have previous AI / ML cloud experience delivering enterprise solutions within financial services including knowledge of the security and regulatory requirements. The role is focused on AI and ML service enablement along with applying best practices and engineering principles configuring and managing Cloud and Gen AI SaaS Tools.You will work in collaboration with cloud engineering, network,



security and risk management to deliver secured Coding Assistant solutions that meet security policies and standards within TD. You will collaborate with developers in our Cloud Platform engineering team and lines of business to implement and continuously improve the framework and tools to support self-service automation of the AI and ML services.**KEY ACCOUNTABILITIES*** Passionate about Generative AI and Machine Learning* AIOps/MLOps mindset enabling services and developing pipelines for managing training models and production models.* Collaborate with internal application development teams to leverage AI/ML services to solve business objectives* Understand security, risks and mitigations to load data and training models securely into Cloud* Programming skills with experience in API and Webhook development using Python, Git Actions and Terraform* Write and use Azure RM and Terraform templates* Understand Azure security features (data protection, authentication, RBAC, etc)* Understanding of Public Key Infrastructure (PKI), handling public key and private key certificates in Azure environment for Paas services and applications* Ability to troubleshoot DNS, Azure connectivity, NSG,



routing* Proficiency in cloud automation using CLI and configuration pipelines* Understand concepts related to deploying platform and data analytics via CI/CD pipeline* Ensure that all cloud solutions follow internally defined security and compliance controls* Develop/Consume APIs, SDKs and Webhook for multi-directional integration of cloud orchestration platform with enterprise systems, DevOps Tools and cloud platforms* Enable agentic workloads through automation in a multi platform environment. (Microsoft Foundry, Copilot Studio, Github Copilot)* Ability to participate in fast-paced DevOps Engineering teams within Scrum agile processes* A critical thinker with strong research and analytics skills* Self-motivated with a positive attitude and an ability to work independently and in a team* AI Service requests fulfillment and operations**EXPERIENCE & EDUCATION*** 3+ years AI and ML platform engineer* 3+ years of experience developing platform orchestration code in Azure Python SDK, Terraform and GitHub Actions* 2+ years of experience context engineering* Experience with managing Gen AI Coding assistant tools (Github Copilot, Claude, Open AI Codex, etc..)* Solid expertise with delivering Cloud Infrastructure As Code (IAC) leveraging CI/CD pipelines, Terraform and Git Actions.* Experience with managing agentic platforms and tools.* Understanding of different GenAI models, development frameworks (Langchain, Semantic Kernel) and AI ecosystem tooling (evaluation, monitoring, governance, security, vector databases)* Ability to understand and identify security risks related to GenAI and techniques* Must be a self-starter, demonstrated ability to take independent action to achieve results.* Highly developed critical thinking, analytical and problem solving skills**Who We Are:**TD is one of the world's leading global financial institutions and is the fifth largest

📌 Ai/Ml Platform Engineer (Toronto)
🏢 TD Bank Group
📍 Toronto