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Added just now
Test Automation Engineer
Accenture
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Full-time
Support production validation, post-release testing, and ongoing quality assurance activities.
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Product Engineer / Product Manager
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Lead Data Engineer - AI & Machine Learning
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Build and support cloud-native, containerized, and Linux-based microservice solutions
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The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained models and copilots, to support GEI’s priority digital and AI initiatives. This role…
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Machine Learning Engineer - Early Career (Canada)
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RBC

Lead Data Engineer - AI & Machine Learning

Toronto, ON, Canada

Job type: Full-time
Apply by: Oct 6, 2026
Experience: 5+ years of hands-on experience in software development with 3+ years focused on AI/ML and production deployments.
Posting language: English
Posted: Sep 21, 2026

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Original job description

Job Description

WHAT IS THE OPPORTUNITY?

Join a high-performing team transforming RBC's Chief Data Office. You will work closely with SMEs, business stakeholders, architects, and senior developers to build and deploy scalable, secure solutions powering next-generation merchant payment capabilities. This role spans both modern full-stack development to AI application architecture, offering a unique opportunity to bridge legacy and cloud-native architectures. Expect rapid growth through hands-on modernization work, emerging AI technologies, and strong mentorship every step of the way.

WHAT WILL YOU DO?

Participate in technical analysis and solution design under senior guidance, contributing to sprint planning, estimation, and Agile delivery
Translate business requirements into user stories and technical designs with mentorship from architects and senior developers
Develop and maintain enterprise-grade python microservices, AnuglarJS front-end applications, and RESTful APIs
Build and support cloud-native, containerized, and Linux-based microservice solutions
Deliver solutions using Agile methodologies through CI/CD pipelines with full deployment support
Conduct peer code reviews, unit and integration testing, and participate in all phases of software development
Learn and adopt best practices, security standards, and performance benchmarks for financial-grade systems
Support teams by applying and growing foundational knowledge in Generative AI and LLMs
Strong leadership and mentorship capabilities with excellent communication skills

WHAT DO YOU NEED TO SUCCEED?

Must have:

5+ years of hands-on experience in software development with 3+ years focused on AI/ML and production deployments.
Expert Python proficiency, NodeJS, relational databases, LLM Frameworks (LangChain, LangFuse), FastAPI
Experience building and consuming RESTful APIs with multi-system integration
Strong exposure to containerization technologies (Docker, Kubernetes)
Strong understanding of Software Development Lifecycle (SDLC) and experience implementing development best practices
Exposure to CI/CD pipelines, automated testing concepts, and Agile delivery practices
Hands on experience with cloud platforms (OpenShift, AWS S3, or Azure), MLOps tolling for monitoring, and comfort working in Linux-based environments
Fast learner who is results-oriented, self-motivated, and effective working both independently and in a team
Demonstrated ability to architect scalable, maintainable systems

Nice-to-have:

Familiarity with Identity/Access Management (Entra) or NoSQL/legacy databases (MongoDB, DB2), Redis
Contributions to open-source AI/ML projects
Familiarity with model governance, compliance, and responsible AI practices
Understanding of MCP

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
Opportunities to take on progressively greater accountabilities

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:

BAY WELLINGTON TOWER, 181 BAY ST:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

CHIEF LEGAL & ADMIN OFFICE GRP

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-09-21

Application Deadline:

2026-10-06

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

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One 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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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

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More about this job

Responsibilities

You will design and deploy scalable, secure AI and machine learning solutions while contributing to sprint planning and Agile delivery. The role involves developing enterprise-grade microservices and RESTful APIs while mentoring team members and adhering to financial-grade security standards.

Requirements

Candidates must have at least 5 years of software development experience, including 3 years focused on AI/ML and production deployments. Proficiency in Python, containerization technologies, and cloud platforms is required, along with strong communication and leadership skills.

Skills

Python
NodeJS
AI/ML
RESTful APIs
Docker
Kubernetes
CI/CD
Agile
Cloud platforms
MLOps
Linux
LangChain
LangFuse
FastAPI
Software development
Microservices

Benefits

Bonuses
Flexible benefits
Competitive compensation
Stock options
Coaching and mentoring
World-class training program
Flexible work/life balance

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
AI
Machine Learning
Python
NodeJS
RESTful APIs
Docker
Kubernetes
CI/CD
Agile
OpenShift
AWS
Azure
MLOps
Linux
LangChain
LangFuse
FastAPI
Microservices
Generative AI
LLMs
Financial Services
Data Management
Cloud Computing
Database Development
ETL Processing
Requirements Analysis
Quality Management
Identity Management

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