Job DescriptionWhat is the opportunity?Wealth Management Data & AI is responsible for delivering a global data foundation and innovative AI capabilities across all of Wealth Management's global businesses. We are looking to hire a talented Data & AI Engineer to build cutting edge AI and data solutions. The role will be responsible for building and managing AI platforms and data pipelines for global operations.
What will you do? - You will be responsible for working closely with AI data scientists to support data ingestion and feature engineering, establishing industry best practices, maintaining and managing technical documentations.
- Build data products using structured and unstructured data to deliver AI solutions. Ensure data quality, performance, scalability.
- Build Gen AI system frameworks, Prompt Engineering, including designing and refining prompts to optimize LLM outputs, implementing Gen AI systems into production.
- Partner with enterprise architect to create data and AI technology architectures. Provide Gen AI subject matter expertise in technical system design, development, and implementation of AI applications.
- Contribute to production efforts via data pipelines, reusable frameworks, distributed computing, and documentations.
What do you need to succeed?Must have:- Degree in Computer Science or Software Engineering related technical field
- 7+ years of experience in development, designing and developing robust scalable REST API, microservices, and data pipelines in production
- Advanced SQL knowledge and data engineering experience working with relational databases
- High proficiency using Python for data and AI engineering, experience building end to end ML pipelines include data ingestion, data transformation, feature engineering, model inference and deployment in production
- Expertise in Generative AI and Machine Learning service integrations. Familiar with Gen AI tech stack (LLMs, Agents, MCP Servers)
Nice-to-have:- Knowledge of data engineering industry best practices: schema management, data quality, data governance, Cloud management, Databases, Data Warehousing, ETL pipelines, and data streaming
- Experience in building data products for analytics visualizations
- Experience using AWS Sagemaker, S3, Snowflake, Databrick, Airflow, Hadoop, PySpark
- Familiar with Dev Ops and Microservices tools such as Git, Jenkins, Vault, Node.JS, Flask, Django, Kafka
- Past experiences with one of the Object-Oriented development languages such as: C++, C# .NET, or Java
- Familiar with JIRA, Confluence, Agile/Scrum development methodology
- Ability to read and write in the French language is a plus
What's in it for you?We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.
- A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
- Leaders who support your development through coaching and managing opportunities
- Ability to make a difference and lasting impact
- Work in a dynamic, collaborative, progressive, and high-performing team
- A world-class training program in financial services
- Flexible work/life balance options
- Opportunities to do challenging work
#LI-Post
#TechPJ
Job SkillsAgile Methodology, AI Prompting, Cloud Computing, Database Development, Data Pipelines, Data Warehousing (DW), Feature Engineering, Generative AI, Machine Learning (ML), Python (Programming Language), Quality Management, Snowflake (Platform), Structured Query Language (SQL), Tableau (Software)
Additional Job DetailsAddress:180 WELLINGTON ST W:TORONTO
City:Toronto
Country:Canada
Work hours/week:37.5
Employment Type:Full time
Platform:WEALTH MANAGEMENT
Job Type:Regular
Pay Type:Salaried
Posted Date:2026-07-22
Application Deadline:2026-08-06
Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
