AI/ML Platform Engineer

Work Location

Toronto, Ontario, Canada

Hours

37.5

Line Of Business

Technology Solutions

Pay Details

$96,900 - $136,800 CAD

This 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..)
Strong 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 bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.

Our Total Rewards Package

Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

Additional Information

We’re delighted that you’re considering building a career with TD. Thro