AI/ML Platform Engineer

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.

We are looking for AI / ML Platform Engineer to deliver enterprise Gen AI capabilities and solutions on c oding 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 .   Y ou 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 a bout 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