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Added 49 mins ago
Responsable Architecte IA (Intelligence Artificielle)
Avanade
Montreal, QC
Full-time
Added 50 mins ago
Lead Data Engineer - AI & Machine Learning
Royal Bank of Canada
Toronto, ON
Full-time
Hands on experience with cloud platforms (OpenShift, AWS S3, or Azure), MLOps tolling for monitoring, and comfort working in Linux-based environments
Added 3 hours ago
Lead Data Engineer - AI & Machine Learning
RBC
Toronto, ON
Full-time
Hands on experience with cloud platforms (OpenShift, AWS S3, or Azure), MLOps tolling for monitoring, and comfort working in Linux-based environments
Added 7 hours ago
Principal Software Development Engineer - AI Platform
Workday
Vancouver, BC · Canada, BC, Vancouver
Full-time
Apply MLOps Standards: Utilize industry-standard practices, including automation, observability, and CI/CD, to deliver high-quality ML solutions.
Added 8 hours ago
Technical Product Owner, AI & Machine Learning Solutions
TD
Toronto, ON
Full-time
…controls, while providing informed challenge on model design, MLOps, data architecture, and production-readiness…
Added 8 hours ago
AI DevOps Specialist (AI Enablement & Secure DevOps)
Celestica International LP
Toronto, ON
…Enterprise Agent Platform), ensuring secure, uninterrupted developer access to AI coding assistants (such as Claude Code, Gemini Code Assist, and Claude Sonnet/Opus models), and…
Added 11 hours ago
Data Architect - Montreal
Slalom
Montreal, QC
Full-time
AI, machine learning, and Generative AI solutions, including AI-enabled engineering practices, MLOps, retrieval-augmented generation (RAG), vector technologies, and agentic AI architectures.
Added 12 hours ago
Senior Data Engineer
fgf brands
Toronto, ON · Greater Toronto Area, ON
Other
Exposure to AI agents, machine learning pipelines, and MLOps practices considered an asset.
Added 13 hours ago
AI Software Developer
Newfoundland Capital Corporation Limited
Montreal, QC
Full-time
We are currently looking for an AI Software Developer to join our AI team. This position reports to the AI Adoption Leader.
Added 15 hours ago
Lead Platform Engineer (DevOps & MLOps)
Shore Consulting
Toronto, ON
Full-time
Partner with Product Engineering and QA to improve test reliability, deployment quality, and developer experience.
Added 16 hours ago
Generative AI Cloud Operations Engineer - Evinova
Evinova
Mississauga, ON
Full-time
Added 16 hours ago
Sr. AI Engineer
Arkhya Tech. Inc.
Canada
Full-time
Familiarity with MLOps, CI/CD, and responsible AI practices.
Added 17 hours ago
Manager, Software Engineering
Base Career
Toronto, ON
Full-time
Familiarity with AI/ML solutions and modern MLOps or software delivery practices.
Added 19 hours ago
ML/AI Engineer
Brock Software
Engineer, BC
Full-time
Added 20 hours ago
Head Of Data Science & Credit Risk
Jobgether
Canada
Full-time
MLOps: Establish strong practices for experimentation, model versioning, deployment, monitoring, and production lifecycle management.
Added 1 day ago
AI Architect, Manager
Avanade
Toronto, ON
Full-time
Added 1 day ago
AI Platform Engineer (35577)
Myticas Consulting
Toronto, ON
Contract
Implement CI/CD pipelines, Infrastructure-as-Code, and MLOps/LLMOps best practices.
Added 8 days ago
Data Scientist
MLSE (Maple Leaf Sports & Entertainment Partnership)
Toronto, ON · Scotiabank Arena
Full-time
Familiarity with modern MLOps workflows, containerization (Docker), and cloud infrastructure (AWS or GCP) for scaling predictive models.
Added 4 days ago
AI Lead Architect, Software and Platforms Architecture (T & I) (Telework/Hybrid)
CBC/Radio-Canada
Ottawa, ON · Toronto, ON · Montreal, QC
Full-time
Added 4 days ago
Lead, Machine Learning Engineer, GFT
RBC
Toronto, ON
Full-time
Experience with MLOps practices, model serving, monitoring, and CI/CD pipelines for ML systems
Added 3 days ago
Sr. Data Scientist
Charger Logistics Inc
Brampton, ON
Full-time
Operate MLOps workflows on Google Cloud using Vertex AI Pipelines, Feature Store, and Model Registry, supporting model training, deployment, monitoring, and drift detection.
Added 1 month ago
AI Lead Architect, Software and Platforms Architecture (T & I) (Telework/Hybrid)
Radio-Canada
Montreal, QC
Full-time
Added 1 month ago
AI Lead Architect, Software and Platforms Architecture (T & I) (Telework/Hybrid)
CBC/Radio-Canada
Montreal, QC
Full-time
Added 3 days ago
Engineering Manager, Forward Deployed Engineering (LLM)
Baseten
Toronto, ON
$260,000 to $380,000 USD / year
Full-time
…applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing…
Added 3 days ago
Applied AI Engineer
Hygiena
Mississauga, ON
Full-time
Engineer for production across the full SDLC (build → test → deploy → monitor → iterate). Implement MLOps/GenAIOps practices (CI/CD, reproducibility, environment parity, model/prompt/agent…

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.

Apply About employer

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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