Senior AI/Data Developer, TD Securities
Job Fit Check
Base Career helps you apply smarter for this job.
Key skills for this role
Role Overview
TD Securities' Global Research Technology team delivers data, analytics, and AI platforms supporting global research capabilities.
The role focuses on AI-powered applications, data products, and automation that improve analyst productivity and research workflows.
The developer will collaborate with research analysts, business stakeholders, data engineers, and software engineers.
Key Skills for This Role
Full Job Posting
Role Overview
TD Securities' Global Research Technology team delivers data, analytics, and AI platforms supporting global research capabilities.
The role focuses on AI-powered applications, data products, and automation that improve analyst productivity and research workflows.
The developer will collaborate with research analysts, business stakeholders, data engineers, and software engineers.
Compensation
- The stated pay range is $125,000-$156,000 CAD.
- The role is eligible for discretionary variable compensation based on business and individual performance.
Responsibilities
- Design AI-powered applications for investment research workflows.
- Build agentic AI solutions that retrieve, analyze, and synthesize research data.
- Develop intelligent document processing using LLMs, OCR, NLP, and knowledge retrieval.
- Create scalable APIs, backend services, and integrations.
- Build and maintain Databricks and cloud-native data pipelines.
- Implement RAG architectures, vector search, and modern web applications.
- Partner with stakeholders on automation and workflow optimization.
- Ensure security, governance, compliance, and scalability standards.
- Evaluate emerging AI technologies and contribute to the AI roadmap.
Required Skills and Experience
- Strong software engineering practices, including testing, CI/CD, and code quality, are required.
- Deep Python and full-stack development expertise is required.
- Experience with LLM applications and agentic AI solutions is required.
- Hands-on experience with RAG, prompt engineering, semantic search, vector databases, and LLM evaluation is required.
- Production-grade API and backend service experience is required.
- Practical experience with Databricks or Snowflake and structured and unstructured data is required.
- Familiarity with Delta Lake, Spark, and modern data platform architectures is listed.
Example Projects
Research report generation and summarization.
Intelligent document review and data extraction.
AI-powered research assistants and company intelligence workflows.
Knowledge management, search, productivity, and workflow automation platforms.
Databricks-based analytics and AI solutions.
Agentic applications integrating data, documents, and internal systems.
Apply for this job in 1 click
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
More from this employer
More jobs at TD
Senior Business Intelligence and Reporting Analyst
Toronto, CAN
Work Location: Toronto, Ontario, Canada Hours: 37.5 Line of Business: Analytics, Insights, & Artificial Intelligence Pay Details: $81,600 - $115,200 CAD TD is committed to providing fair and equitable compensation opport
Senior Business Analyst
Toronto, CAN
Work Location: Toronto, Ontario, Canada Hours: 37.5 Line of Business: Enterprise Enabling Functions Pay Details: 81,600 - 115,200 CAD TD is committed to providing fair and equitable compensation opportunities to all coll
Senior Business Intelligence and Reporting Analyst
Toronto, CAN
Senior Business Analyst
Toronto, CAN
Senior, HR Business Partner
Toronto, CAN
Account Manager II
Hamilton, CAN
Customer Experience Associate
Surrey, CAN
Executive Talent Acquisition Partner
Toronto, CAN
Account Manager II
Hamilton, CAN
IT Ops Specialist – Kubernetes/GCP
Toronto, CAN