AI/ML Platform Engineer
Sign up free to see how well your resume matches this role.
What you'll do
- 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
What they're looking for
- 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
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
Work Location:
Toronto, Ontario, CanadaHours:
37.5Line of Business:
Technology SolutionsPay 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..)
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. Through regular development conversations, training programs, and a competitive benefits plan, we’re 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 you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll 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 you’re 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.
We're 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 you’ve got everything you need to succeed in your new role.
Interview Process
We’ll 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 you’d 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):
Sans ObjetCompany
Company facts come from this company's own listings. We only show what the postings themselves carry.