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Lead Data Engineer, AI and Technology Strategy

RBC

Toronto

On-site

CAD 80,000 - 100,000

Full time

2 days ago
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Job summary

A leading financial institution is seeking a Lead Solution Engineer in Toronto to collaborate on AI and data strategy. This role involves designing and deploying AI-enabled platforms, developing models, and working with business stakeholders. Candidates should have a degree in a related field, proficiency in programming languages such as Python and SQL, and experience with cloud technologies. The position offers a comprehensive rewards program and opportunities for growth in a collaborative team environment.

Benefits

Comprehensive Total Rewards Program
Leaders supporting development
Opportunity for growth and learning
Dynamic high-performing team

Qualifications

  • 3-5 years understanding of AI/ML fundamentals and relevant programming languages.
  • Hands-on experience in LLM and AI/ML model development.
  • Solid understanding of data governance and security compliance.

Responsibilities

  • Design, develop, and deploy AI/ML models and prototypes using enterprise data.
  • Collaborate with IT partners to implement efficient solutions.
  • Create dashboards and reporting platforms to monitor model performance.

Skills

AI/ML fundamentals
SQL
Python
Java
Data governance
Communication skills
Data Management

Education

Degree in data engineering, Computer Science, or related field

Tools

AWS
Azure
GCP
MCP
Job description
What is the opportunity?

As Lead Solution Engineer, this role will collaborate closely with the Director, AI and Technology Strategy, TEO, to develop and implement TEO's AI and data strategy. The AI and Technology Strategy team holds primary accountability for driving the adoption and value creation of AI across TEO, in conjunction with RBC's AI teams, including Borealis and Lumina.

By leveraging RBC's extensive data assets and AI ecosystems, you will work in tandem with business stakeholders, end-users, and technology partners to design and deploy AI-enabled data platforms and solutions. Additionally, you will develop and test computer programs, models, and prototypes as part of proof‑of‑concept initiatives, focusing on enhancing operational efficiencies and elevating customer experiences.

What will you do?
  • Participate in the design, develop, and deploy of AI/ML models and prototypes using enterprise data assets.
  • Collect, transform, and analyze complex data to extract insights, support model development, and enable predictive analytics.
  • Collaborate with IT partners to implement efficient solutions, reducing manual work and errors, and to align cloud infrastructure with AI strategy.
  • Develop and maintain scalable data platforms, including data hubs, pipelines, ETL, MCP servers and APIs, to ensure accurate and reliable data feeds.
  • Create dashboards, reporting platforms, and self‑service reporting capabilities to monitor model performance, operational impact, and efficiency gains.
  • Establish processes for continuous model improvement, including automated feedback loops and simulation environments to validate models and quantify business impact.
What do you need to succeed?
Must have:
  • 3-5 years deep understanding of AI/ML fundamentals, frameworks and relevant programming or database languages like SQL, Python, or Java.
  • Degree in data engineering, Computer Science, or related fieldwork experience in software/model development or related fields.
  • Experience with data platforms, cloud technologies (AWS, Azure, GCP), MCP, and APIs.
  • Hands‑on experience in LLM, AI/ML model development, simulation, and deployment.
  • Proven ability to design scalable data pipelines and AI‑ready infrastructures.
  • Solid understanding of data governance, data management, data quality, security, and compliance.
  • Strong communication skills to translate technical solutions into business outcomes.
Nice to have
  • Experience working directly with client or business teams in banking operations industry.
  • Experience with model lifecycle management, and design thinking.
  • Prior exposure to RBC enterprise data platforms or financial services.
  • Experience of building or leading AI/data science teams.
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
  • Opportunity to grow, learn and build strong leadership skills
  • Ability to make a difference and lasting impact for both RBC and the community
  • Work in a dynamic, collaborative, progressive, and high‑performing team
  • Opportunities to do challenging work and grow your technical literacy
  • Broad exposure and opportunity to collaborate with many teams across the organization

#LI-POST
#TECHPJ

Job Skills
  • Big Data Management
  • Cloud Computing
  • Database Development
  • Data Mining
  • Data Warehousing (DW)
  • ETL Processing
  • Group Problem Solving
  • Quality Management
  • Requirements Analysis
Additional Job Details

Address: 180 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: 2026-01-06

Application Deadline: 2026-01-31

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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