AI Engineer

TD; Canada; On-site; CAD 96,000 - 137,000; Full time

Job summary

A leading global financial institution in Canada is seeking a skillful AI Engineer to enhance AI capabilities using Azure. This role involves designing data ingestion pipelines, ensuring data integrity, and collaborating with cross-functional teams. Candidates should possess extensive experience in software engineering and proficiency in cloud platforms, particularly Azure. This position offers competitive compensation and opportunities for professional development in a dynamic environment.

Benefits

Health and well-being benefits

Career development programs

Attractive compensation package

Qualifications

• University or post-graduate degree required.
• 7+ years of proven experience in software/data engineering.
• Strong understanding of ETL processes and cloud platforms.

Responsibilities

• Design and manage data ingestion pipelines.
• Develop and maintain AI workflows for data processing.
• Ensure compliance with data protection regulations.

Skills

Software/data engineering experience

Cloud platforms expertise

Proficiency in Python

API management experience

Machine learning concepts understanding

Education

Bachelor's degree in Computer Science or related field

University or post-graduate degree

Tools

Azure AI Platform

Vector databases (Pinecone, Milvus)

Job description

Job Description

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 Summary

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 Engineer to join our team and drive the development of cutting-edge AI capabilities and solutions on the Azure AI Platform. 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

Engineering and Integration:

• Design, implement, and manage scalable and efficient document and data ingestion pipelines for diverse content types (structured, semi-structured, and unstructured).
• Develop and maintain robust ETL/ELT processes to ensure high data quality, consistency, and integrity across AI systems.
• Build and maintain end-to-end AI workflows, integrating data ingestion, embedding generation, model inference, and downstream applications.
• Develop software components, services, and APIs that enable AI capabilities to be embedded into products, platforms, and business processes.
• Orchestrate and automate AI pipelines using workflow tools (e.g., scheduling, monitoring, retries, and error handling) to ensure reliability and scalability.

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 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.

Qualifications

• University or post-graduate degree
• Bachelor\'s degree in Computer Science, Software Engineering, Information Systems, or a related field.
• 7+ years of proven experience in software/data engineering.
• Experience with designing and implementing large-scaled data processing pipelines.
• Strong understanding of data platform architectures, ETL processes, and workflow automation.
• 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 in API management services for creating, deploying, and managing APIs.
• In-depth knowledge of CI/CD pipelines and DevOps practices, particularly GitHub Actions.
• Experience with vector databases (e.g., Pinecone, Milvus, FAISS) and related tools.
• 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