Engineer II - AI Platform (B3617)
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:
Job Description
We are seeking a highly motivated Engineer II to join our AI Platform team. Our mission is to advance AI capabilities and deliver AI-powered solutions that optimize processes, improve productivity, and create meaningful value for our customers and colleagues.
In this role, you will help design, implement, and maintain AI capabilities on the Azure AI Platform, with a focus on knowledge management systems and databases that enable scalable and high-performing AI solutions.
You will play a key role in shaping our AI development practices and ensuring our solutions meet strong standards for reliability, quality, and performance.
KEY ACCOUNTABILITIES
- Design, build, and maintain scalable data ingestion and ETL pipelines that support a wide range of structured and unstructured content, ensuring high levels of data quality, integrity, reliability, and performance.
- Integrate data from multiple internal and external sources into centralized data and content platforms that enable efficient storage, indexing, retrieval, and consumption for AI-driven solutions.
- Configure, optimize, and operate data storage, retrieval, and access mechanisms to support performant search, discovery, and knowledge-based use cases.
- Monitor and optimize the performance, scalability, and reliability of data pipelines, storage systems, APIs, and retrieval workflows, proactively identifying and resolving issues.
- Develop, deploy, and maintain secure, scalable APIs that enable efficient data access and integration across platform and AI services.
- Create and maintain clear, accurate documentation for data workflows, system designs, and best practices to support knowledge sharing, onboarding, and long-term maintainability.
- Implement and uphold data governance and security standards, including metadata management and data cataloging, to improve data discoverability, usability, compliance, and protection of sensitive information.
- Partner closely with cross-functional technology, operations, and product teams to ensure data and platform solutions integrate smoothly with existing tools, processes, and workflows.
- Contribute to the execution of engineering strategy by supporting automation, tooling, and best practices across application and platform environments.
- Apply an understanding of business and technical requirements to help identify effective solutions to evolving or non-standard data and platform needs.
- Collaborate with internal teams and external platform vendors to stay current on emerging technologies, tools, and industry best practices relevant to AI and data platforms.
- Support a positive, collaborative team environment by sharing knowledge, communicating effectively, contributing to continuous improvement initiatives, and taking ownership of ongoing professional development.
Want more jobs like this?
Get jobs in Toronto, Canada delivered to your inbox every week.
EXPERIENCE & EDUCATION
- University or post-graduate degree
- Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field.
- 7+ years of proven experience in data engineering.
- Experience with designing and implementing large-scaled data processing pipelines.
- Strong understanding of data platform architectures, data modeling, ETL processes, and data pipeline design.
- Experience with cloud platforms (e.g., AWS, GCP, Azure (preferred)) and big data technologies.
- Proficiency in programming languages such as Python, Spark, Java, or Scala.
- Understanding of API management services for creating, deploying, and managing APIs.
- Strong working knowledge of CI/CD and DevOps practices
- Understanding of machine learning concepts, MLOps, and familiarity with AI frameworks.
- Understanding of natural language processing, machine learning, MCP, RAG and Agentic AI
- Excellent problem-solving skills and attention to detail.
- Strong communication and teamwork abilities.
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 Objet
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion