Azure Google AIML Platform Engineer II

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Pay Details:

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 candidates 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:

Our mission is to advance TDby enabling secure scalable Azure and Google Cloud AI/ML capabilities across the enterprise tosolve business problems with AI and deliver solutionsto customers faster. We are a multi-cloud Platform Engineering team building Infrastructure as Code (IaC) automated testing frameworks and self-service tooling that allow lines of business to consume cloud services safely within a financial services environment.

As an experienced Platform Engineeryou own services end-to-end. You design the Terraform modules the GitHub Actions pipelines the security model and the operational story for an entire cloud service. You provide technical oversight toother engineers for code review design feedback and mentorship. You raise the bar on quality security and developer experience for the entireplatform.

You will work across a modern opinionated platform stack: Terraform and the native Azure/Google SDKs for IaC; Python for automation and tooling; GitHub Actions for CI/CD; and a security-first toolchain spanning RBAC/IAM Active Directory PingFederate PKI Key Vault / Secret Manager and policy-as-code. The services in scope include Azure OpenAI Azure AI Foundry Azure AI Search Azure Bot Service Azure ML and Google Vertex AI.

KEY ACOUNTABILITIES

• Own end-to-end delivery of Infrastructure as Code for one or more cloud AI services - Azure OpenAI Azure AI Foundry Azure AI Search Azure Bot Service Azure ML or Google Vertex AI - from Terraform module design and pipeline plumbing through to production rollout and Day-2 operations.
• Design platform abstractions that let application teams self-serve safely: opinionated Terraform modules GitHub Actions reusable workflows Python CLIs and SDKs and golden paths that bake in security networking and observability.
• Lead architectural conversations across Azure and Google Cloud balancing capability cost performance regulatory fit and developer experience.
• Embed security and compliance into the platform: RBAC/IAM design federated identity (Azure AD/Entra Google Cloud Identity AD PingFederate) private networking certificate/PKI lifecycle secrets management policy-as-code and audit/evidence workflows.
• Build patterns for safe consumption of generative AI - private endpoints for Azure OpenAI and Vertex AI RAG architectures with Azure AI Search and vector stores model gateway / routing layers content filtering and prompt-shield controls MLOps/LLMOps pipelines and evaluation tooling.
• Lead code review and set standards for IaC quality testing observability error handling and runbook hygiene across the team.
• Partner with security network risk and architecture organizations to shepherd new capabilities through internal control gates.
• Contribute to platform strategy: roadmap shaping build-vs-buy analysis vendor evaluations and cross-team alignment.

EXPERIENCE & EDUCATION

• 5 years of cloud platform or infrastructure engineering experience with deep IaC delivery on at least one of Azure or Google Cloud.
• Expert-level Terraform - module design composition workspaces testing drift management and pipeline patterns.
• Strong Python for platform work: SDK integrations CLI/tooling automated testing packaging observability hooks.
• Experience with GitHub Actions (or comparable CI/CD) including reusable workflows environments OIDC-based cloud auth deployment gating and secret management.
• Demonstrable experience deploying and operating AI/ML services on Azure (Azure OpenAI Azure AI Foundry Azure AI Search Azure Bot Service Azure ML) and/or Google Cloud (Vertex AI BigQuery Pub/Sub).
• Hands-on understanding of cloud networking at depth: VNets/VPCs NSGs/firewall rules hub-spoke and shared VPC patterns private endpoints ExpressRoute DNS and routing across hybrid topologies.
• Strong security engineering instincts: RBAC/IAM design identity federation (Azure AD/Entra Google Cloud Identity AD PingFederate) Key Vault / Secret Manager PKI and certificate lifecycle data protection and policy-as-code.

Who We Are:

TD is one of the worlds 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 95000 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:
Were delighted that youre considering building a career with TD. Through regular development conversations training programs and a competitive benefits plan were committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations requirements.

Colleague Development

If youre interested in a specific career path or are looking to build certain skills we want to help you succeed. Youll have regular career development and performance conversations with your manager as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.

If youre passionate about helping clients and building deep lasting relationships TD offers diverse career paths where you can grow your expertise and make a meaningful impact.

Were committed to your success and foster a respectful workplace where diverse perspectives are valued everyone has fair opportunities to grow and you can unlock your full potential to achieve your career goals. Here at TD we hire and develop the best.

Training & Onboarding
We will provide training and onboarding sessions to ensure that youve got everything you need to succeed in your new role.

Interview Process
Well reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Accommodation
Your accessibility is important to us. Please let us know if youd like accommodations (including accessible meeting rooms captioning for virtual interviews etc.) to help us remove barriers so that you can participate throughout the interview process.

We look forward to hearing from you!

Language Requirement (Quebec only):