Lead AI Engineer

RBC • Toronto, ON

11d • Onsite

About The Position

Wealth Management Data & AI is responsible for delivering a global data foundation and innovative AI capabilities across all of Wealth Management’s global businesses. The role is for 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.

Requirements

• 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 Haves

• 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 at least 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

Responsibilities

• 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

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 5,001-10,000 employees