Senior Data Engineer - AI

ODAIA; Toronto; On-site; CAD 80,000 - 100,000; Full time

Job summary

A prominent technology firm located in Toronto is seeking a Data & AI Engineer to develop innovative AI and data solutions. This role involves building AI platforms, ensuring data quality, and collaborating with data scientists. The ideal candidate will have a degree in Computer Science, extensive Python experience, and knowledge of Generative AI. Offering competitive compensation and a supportive work environment, this full-time position promotes a collaborative culture.

Benefits

Comprehensive Total Rewards Program

Flexible work/life balance

World-class training program in financial services

Qualifications

• 5+ years of experience in REST API development, designing robust APIs, microservices, and data pipelines.
• Advanced SQL knowledge and experience with relational databases.
• High proficiency in Python for data and AI engineering.

Responsibilities

• Work closely with AI data scientists for data ingestion and feature engineering.
• Build data products using structured and unstructured data.
• Design Gen AI system frameworks and refine prompts for optimization.

Skills

REST API development

SQL

Python

Generative AI

Machine Learning

Education

Degree in Computer Science or Software Engineering

Tools

AWS Sagemaker

Snowflake

Hadoop

PySpark

Job description

Overview

What 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.

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
• 5+ years of experience in REST API development, designing and developing robust scalable API, microservices, and data pipelines in production
• Advanced SQL knowledge and 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
• Have experience with at least one of the Object-Oriented development languages such as: C++, C# .NET, Java
• Experience using AWS Sagemaker, S3, Snowflake, Airflow, Hadoop, PySpark
• Experience using Dev Ops and Microservices tools such as Git, Jenkins, Vault, Node.JS, Flask, Django, Kafka
• Familiar with JIRA, Confluence, Agile/Scrum development methodology

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

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Job Skills and Details

Job Skills: Agile Methodology, AI Prompting, Cloud Computing, Database Development, Data Pipelines, Data Warehousing (DW), Feature Engineering, Generative AI, Machine Learning, Python (Programming Language), Quality Management, Snowflake (Platform), Structured Query Language (SQL), Tableau (Software)

Additional Job Details

Address: 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: 2025-08-20

Application Deadline: 2025-09-05

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Inclusion and Equal Opportunity Employment

At RBC, we believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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