Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Technology Solutions

Pay Details:

$91,200 - $136,800 CADThis role is eligible for a discretionary variable compensation award that considers business and individual performance.

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:

As part of the AI Platform, our passion is to advance AI capabilities and deliver AI-powered solutions to optimize processes, maximize productivity, and increase value for our customers and colleagues. We are seeking a highly skilled and experienced AI Data Engineer to join our team and drive the development of cutting-edge AI capabilities and solutions on the Azure AI Platform. In this role, you will be at the forefront of designing, implementing, and maintaining knowledge management content vector databases specifically tailored to support our ambitious AI initiatives. Your expertise will help shape the direction of our AI development practices and ensure that our AI solutions meet the highest standards of quality and performance.

Key Responsibilities:

Data Ingestion and Integration:

· Design, implement, and manage scalable and efficient data ingestion pipelines for various content types.

· Develop ETL (Extract, Transform, Load) processes to ensure high data quality and integrity.

· Ensure seamless integration of data from multiple sources into vector databases.

Vector Database Management:

· Configure, optimize, and maintain vector databases for effective storage and retrieval of high-dimensional content data.

· Implement and optimize indexing and search algorithms to enable efficient and accurate data retrieval.

· Monitor database performance and scalability, addressing any issues promptly.

Knowledge Management:

· Develop and maintain comprehensive documentation for data ingestion workflows, processes, and best practices.

· Implement and enforce data governance policies to ensure data security, compliance, and quality.

· Manage metadata and data catalogs to enhance data discoverability and usability.

Collaboration and Communication:

· Work closely with cross-functional teams, including data scientists, AI researchers, and software engineers, to understand data requirements and provide technical support.

API Management:

· Understand and utilize API management services (e.g., Azure API Management) for creating, deploying, and managing APIs.

· Develop and maintain APIs to facilitate secure and efficient data access and integration.

· Monitor and optimize API performance, ensuring scalability and reliability.

Performance Optimization:

· Conduct performance tuning and optimization of data ingestion pipelines and vector databases.

· Implement techniques to enhance the speed and efficiency of data processing and retrieval.

· Monitor system performance metrics and make necessary adjustments to meet performance targets.

Security and Compliance:

· Implement security best practices for data ingestion pipelines and vector databases to protect sensitive data.

· Ensure compliance with relevant data protection regulations and industry standards.

Experience/Education:

· Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field.

· 5-7 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.

· Experience with vector databases (e.g., Pinecone, Milvus, FAISS) and related tools.

· Understanding of API management services (e.g. Azure API Management) for creating, deploying, and managing APIs.

· In-depth knowledge of CI/CD pipelines and DevOps practices, particularly GitHub Actions.

· Understanding of machine learning concepts, MLOps, and familiarity with AI frameworks.

· Understanding of natural language processing (NLP), machine learning, and RAG.

· 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 deliver legendary customer experiences to 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 the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.

TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you've got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we're here to support you towards your goals. As an organization, we keep growing – and so will you.

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. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD – and we're committed to helping you identify opportunities that support your goals.

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