AI Engineer (B3617)

Work Location:

Hours:

Line of Business:

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:

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 semistructured and unstructured).
• Develop and maintain robust ETL/ELT processes to ensure high data quality consistency and integrity across AI systems.
• Build and maintain endtoend 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
• Bachelors 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 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):