AI​/Data Application Developer, TD Securities

Work Location:

Toronto, Ontario, Canada

Hours:

37.5 Line of Business:
Technology Solutions Pay Details: $102,200 - $125,000 CAD This 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  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.

Department Overview Building a World-Class, Diverse and Inclusive Technology Team At TD Securities, technology plays a critical role in enabling data, analytics, automation, and AI capabilities across our global Research business. We are looking for a Developer based in Toronto to help deliver scalable, modern solutions that support colleagues and stakeholders across multiple regions. This is an opportunity to be a part of a high-impact engineering team while working in close partnership with global peers in key locations including Toronto, New York, Dublin and India.

The CRM Technology team is responsible for delivering and supporting strategic CRM platforms and client intelligence capabilities used across Research and Capital Markets. The team develops and supports CRM applications, data integrations, analytics solutions, and AI-enabled capabilities that improve client relationship management, business workflows, and decision-making. We are seeking a Developer with experience in AI, data engineering, and application development to support the ongoing evolution of our CRM Technology platform.

This execution-focused role will help build and support CRM data products, AI-enabled solutions, analytics capabilities, and application integrations that deliver business value across Research and Capital Markets. The successful candidate will work alongside senior developers, business systems analysts, architects, and business stakeholders to deliver scalable and innovative solutions leveraging Java, React, Python, SQL, cloud technologies, and modern AI capabilities.

• Support development of AI-powered capabilities including intelligent search, document processing, workflow automation, and knowledge retrieval solutions.
• Build APIs, services, and application components that integrate CRM platforms with enterprise systems and data sources.
• Collaborate with developers, BSAs, data engineers, and business stakeholders to translate requirements into working solutions.
• Support CI/CD, automated deployment, monitoring, testing, and operational support of data and application workloads.
• Investigate production issues, perform root cause analysis, and contribute to continuous improvement initiatives.
• Contribute to CRM analytics, client intelligence, reporting, and AI enablement initiatives through the delivery of trusted and reusable technology and data assets.

• 3+ years of experience in software engineering, data engineering, analytics engineering, or related technology roles.
• Hands-on experience with Python, Java, Java Spring and SQL.
• Knowledge of MS SQL server or a similar SQL query language.
• Understands architecture best practices when designing a database schema.
• Considers performance and scale.
• Has worked with database migrations.
• Exposure to AI and Generative AI technologies, including LLMs, document automation, intelligent search, or workflow automation.
• Experience developing data pipelines, ETL processes, and data transformation logic.
• Experience developing APIs, integrations, or application components using Python, Java, or related technologies.
• Knowledge of relational databases, data modeling, and data quality principles.
• Familiarity with CI/CD, source control, testing, monitoring, and deployment best practices.
• Strong analytical and problem-solving skills.
• Strong communication and collaboration skills with the ability to work across business and technology teams.
• Bachelor's degree in computer science or a related field.