Job DescriptionWhat is the opportunity?Working within Wealth Management Global IT Data Services Canada - you will be our Senior Software Engineer, specializing in AI-driven agent development using Python, SQL, and Snowflake technologies. You will leverage modern development tools including Copilot and Windsurf to build intelligent, scalable solutions. You will join a very dynamic team that is highly technical and has a great track record of delivering multiple innovative AI-powered solutions within the organization. This is a hands-on technical role, very independent with an opportunity for growth.
What will you do?- Design and develop AI-based agents and intelligent automation solutions using Python and copilot-assisted development
- Build and optimize data pipelines and analytics solutions leveraging Snowflake and SQL
- Contribute to successful solution development and delivery by identifying risks and developing/recommending mitigation strategies
- Participate in code reviews and technical design reviews of all AI agent architectures, specifications, and implementation plans
- Collaborate with data engineering and infrastructure teams to optimize Snowflake queries and database performance
- Assist DevOps/support teams in troubleshooting production issues and performance optimization
- Mentor team members on Python best practices, AI agent development, and Snowflake optimization techniques
What do you need to succeed?Must-have- Strong experience with Python development (5-7 years) and modern frameworks
- Hands-on expertise with Snowflake data warehouse and SQL query optimization
- Proven experience developing AI-based agents and intelligent automation solutions
- Proficiency with Copilot and Windsurf development environments
- Experience with REST APIs and modern integration patterns
- Strong SQL skills including complex queries, stored procedures, and performance tuning
- Experience with containerization (Docker, Kubernetes) and DevOps practices
- Proficiency with version control (Git) and CI/CD pipelines
- Experience in both Agile and Waterfall environments
Nice-to-have- Experience with machine learning frameworks and LLM integration
- Prior experience managing or mentoring small teams
- Exposure to enterprise data governance and data quality tools
- Experience with cloud platforms and infrastructure automation
- Hands-on experience with IBM DataStage and ETL tools
Job SkillsActive Learning, Agile Methodology, AI Prompting, Application Integrations, Detail-Oriented, DevOps Tools, Enterprise Application Delivery, ETL Tools, GitHub, GitHub Actions, Group Problem Solving, Java (Programming Language), Programming Languages, Python (Programming Language), Snowflake GenAI, Software Development Life Cycle (SDLC), Structured Query Language (SQL)
Additional Job DetailsAddress:RBC CENTRE, 155 WELLINGTON ST W:TORONTO
City:Toronto
Country:Canada
Work hours/week:37.5
Employment Type:Full time
Platform:TECHNOLOGY AND OPERATIONS
Job Type:Regular
Pay Type:Salaried
Posted Date:2026-06-29
Application Deadline:2026-07-31
Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above