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Added 7 days ago
Generative AI Cloud Operations Engineer - Evinova
AstraZeneca
Mississauga, ON · Canada - Mississauga
Full-time
…research is conducted, how care is delivered, and how patients experience healthcare. Our solutions are built to scale, driving efficiency, improving decision-making, and ultimately…
Added 7 days ago
AI Mobile Engineer- IOS
Zafin
Toronto, ON
The AI Mobile Engineer- IOS is a senior technical implementation role responsible for leading the design and delivery of production-grade agent solutions. Your primary goal is to translate…
Added 7 days ago
Founding DevOps/SRE Engineer
Requesty
London, ON
Full-time
…best AI products, and power the next AI coding assistants, agent orchestration systems or any other AI-based…
Added 8 days ago
Artificial Intelligence Engineer
Zown
Toronto, ON
Full-time
We are looking for an AI Software Engineer to design, build, and scale intelligent software systems that power our products. This role sits at the intersection of artificial intelligence…
Added 8 days ago
Senior L3 AI Engineer
Tata Consultancy Services
Montreal, QC
Full-time
We are seeking a Senior Level 3 AI Engineer to act as the first point of call for engineering issues across the firm’s end user AI products - Microsoft Copilot, OpenAI ChatGPT, Anthropic…
Added 8 days ago
Security Researcher Engineer
Tata Consultancy Services
Toronto, ON
$100,000 to $120,000 CAD / year
Full-time
Experience with AI red teaming, autonomous penetration testing, agent security, or AI-native security tooling.
Added 14 days ago
Full Stack Engineer (AI-Enabled)
BMO
Calgary, AB · GCS
Full-time
We are looking for a Full Stack Engineer who can design and deliver scalable, enterprise-grade solutions while building AI capabilities directly into our platforms.
Added 20 days ago
Design Engineer - Co-op Student
Loblaw Companies Limited
Toronto, ON
Full-time
Curiosity about AI-assisted design and development tools. Hands-on experience with a coding agent is a bonus.
Added 14 days ago
Lead Platform Engineer
RBC
Toronto, ON
Full-time
Are you interested in working as a Lead Platform Engineer on the Global Payments Platform and DevOps team in Technology & Operations at the Royal Bank of Canada?
Added 25 days ago
Software Engineer - Identity & Authorization
Baseten
Montreal, QC
$240,000 to $285,000 USD / year
Full-time
Agent credentials that grant an agent exactly the access it needs for the given task and nothing more
Added 17 days ago
Senior Software Developer - SQL/Python
RBC
Toronto, ON
Full-time
We are seeking an experienced Senior Software Engineer to work within Wealth Management Global IT Data Services Canada - As a Senior Software Engineer, specializing in AI-driven agent…
Added 2 months ago
Staff Developer, Intelligent Implementation Workspace
Dayforce
Canada
Demonstrated experience building production agentic systems and architectures, including agent orchestration, evaluation frameworks (evals), and harness engineering.
Added 9 days ago
Head of Forward Deployed Engineering (FDE)
Beacon Holdings
Toronto, ON
Full-time
…deployment owes the platform a primitive, a playbook, or an agent workflow whose outcomes the platform can observe; every engagement leaves the portco's own engineers more capable. You are…
Added 9 days ago
Cloud & AI Apps Solution Engineer
Microsoft
Calgary, AB
Full-time
Microsoft is transforming the experience for Agentic AI applications across the development & deployment lifecycle. We’re leading the way in Agentic AI development where AI agents…
Added 9 days ago
Senior Software Engineer- Applied AI
Morningstar
Toronto, ON
Full-time
We are seeking a Senior Software Engineer to build the applied systems that bring AI capabilities into production: the data pipelines, LLM integrations, agentic workflows, tool interfaces,…
Added 10 days ago
Head of Forward Deployed Engineering (FDE)
Beacon Software
Toronto, ON
Full-time
…deployment owes the platform a primitive, a playbook, or an agent workflow whose outcomes the platform can observe; every engagement leaves the portco's own engineers more capable. You are…
Added 10 days ago
Senior Integration Engineer
Agiloft
Canada
Full-time
…day. Our working philosophy is that “EX = CX”: when employee experience is excellent, so is customer experience. We support multiple Employee Resource Groups (ERGs), and offer a working…
Added 10 days ago
Senior Software Engineer
Magical
Remote, Canada
Full-time · Remote
As a Senior Engineer at Magical, you'll build and own the systems powering our AI agents. You'll set technical direction for projects, drive delivery, enhance your team’s effectiveness, and…
Added 9 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…
Added 9 days ago
Senior AI Engineer
Apptoza Inc.
Toronto, ON
Contract
We are looking for an experienced and highly motivated Senior AI Engineer to join Canada segment’s Technology Strategy team.
Added 10 days ago
Senior Forward-Deployed AI Engineer
Bell
Toronto, ON
As a Senior Forward-Deployed AI Engineer, you will own engagements end-to-end: scoping the problem, choosing the right approach across automation, classical ML, and GenAI/agents, and taking…
Added 9 days ago
Co-founder and hardware-embedded engineer
Kraftgene AI Inc.
Toronto, ON
Part-time
…wildfire conditions and grid performance. Its edge-deployed multi-agent architecture, built on Graph Neural Networks and Physics-Informed Learning, enables fast optimization of grid and…
Added 9 days ago
Senior software engineer: Applied AI
Morningstar
Toronto, ON
Full-time
We are seeking a Senior Software Engineer to build the applied systems that bring AI capabilities into production: the data pipelines, LLM integrations, agentic workflows, tool interfaces,…
Added 9 days ago
Member of Technical Staff (General Software Engineer, Infrastructure)
Perplexity
Toronto, ON
$220,000 to $405,000 USD / year
Full-time
…supporting real-time search, retrieval, model serving, and agent workloads where latency, reliability, and rapid iteration directly shape the user experience. This role is for strong…
Added 9 days ago
Group Product Manager, AI & Data
Rightsline Inc
Toronto, ON
$190,000 to $205,000 CAD / year
Full-time
Best-in-class, modern user experience. The AI surface is where our product feels different. Hold a top-tier UX bar with confidence indicators, human-in-the-loop patterns, exception…

Closed listing

RBC

Lead, Machine Learning Engineer, GFT

Toronto, ON, Canada

Job type: Full-time
Closing date: Sep 15, 2026
Posting language: English
Posted: Aug 25, 2026

This opening has closed.

The original listing is kept below for reference.

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Added 1 day ago
Lead Data Scientist
Class8 · Remote, Canada
$130,000 to $200,000 CAD / year
Added 1 day ago
Data Architect (MDM) - ERP Data Transformation
Resonaite · Toronto, ON, Canada
Added 2 days ago
Senior Data Scientist
Spin Master Ltd · Toronto, ON, Canada
Added 2 days ago
Data Architect
Insight · Toronto, ON, Canada

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Original job description

Archived listing. The details below describe a past opening.

Job Description

What is the opportunity?

As a Senior Manager, AI and ML, you will be working on solving core business problems in compliance (trade surveillance, managing regulatory insights, etc) by leveraging AI and ML to optimize business processes and facilitate informed decision making. You will get the opportunity to work on cutting-edge technology and complex problems that generate significant value and have a high long-term impact on the bank’s growth.

What will you do?

Work on challenging business problems by leveraging large RBC data, translating them into machine learning problems and applying advanced machine learning algorithms to generate business value
Lead the end-to-end lifecycle of AI/ML initiatives - from ideation and POC through development, deployment, and production support

Design and implement Generative AI solutions, including Retrieval-Augmented Generation (RAG) systems, LLM-powered agents, and NLP pipelines
Provide technical leadership and mentorship to team members, fostering a culture of innovation and continuous learning
Collaborate with engineering, architecture, and model risk management teams to ensure solutions meet enterprise standards for scalability, security, and governance
Stay current with emerging AI/ML technologies and evaluate their applicability to Compliance use cases
Communicate complex technical concepts to non-technical stakeholders and senior leadership

What do you need to succeed?

Must have:

PhD or Masters in a quantitative discipline such as computer science, mathematics, statistics, or engineering
Excellent verbal and written communication skills; ability to work collaboratively with cross-functional teams including business, engineering, and risk management
7+ years of expert level programming experience in Python (preferable) and other languages is a must – ability to write production level code and documentation
5+ years’ experience working with large unstructured and structured datasets - exploring and understanding data, cleaning and pre-processing, performing exploratory data analysis, generating business insights and communicating them in a clear, concise manner
5+ years’ experience developing and deploying models in production for real business problems
Knowledge of standard machine learning libraries like numpy, pandas, scikit learn and visualization packages like seaborn or matplotllib, etc and machine learning algorithms like logistic regression, tree based models, decision trees, random forests, etc
Strong understanding and work experience with core NLP and Generative AI like embeddings, text pre-processing, RNN’s, Transformer architecture, fine-tuning models, prompting techniques, etc
Demonstrated experience designing and implementing Retrieval-Augmented Generation (RAG) architectures, including vector databases, embedding models, and retrieval pipelines
Experience building and deploying RESTful APIs for ML model serving (FastAPI, Flask)
Experience with MLOps practices, model serving, monitoring, and CI/CD pipelines for ML systems
Experience working with version control – git and linux.

Nice-to-have:

Experience building autonomous AI agents and multi-agent orchestration frameworks (e.g., LangChain, LangGraph, AutoGen)
Prior experience in financial services, particularly in Compliance, Risk, or Regulatory Technology
Experience working with big data, pyspark, scala
Experience working with deep learning – RNN’s, Transformer models, etc
2+ years’ experience working with Deep Learning Frameworks like Tensorflow or Pytorch

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
Opportunities to do challenging work
Opportunities to take on progressively greater accountabilities
Opportunities to build close relationships with clients
Access to a variety of job opportunities across business and geographies

#LI- PK

Job Skills

Actuarial Modeling, Big Data Management, Commercial Acumen, Data Mining, Data Science, Decision Making, Machine Learning (ML), Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language)

Additional Job Details

Address:

RBC WATERPARK PLACE, 88 QUEENS QUAY 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:

2026-04-27

Application Deadline:

2026-09-15

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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Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

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.

About employer

More about this job

Responsibilities

Lead the end-to-end lifecycle of AI/ML initiatives, from ideation and POC through to production deployment. Design and implement Generative AI solutions, including RAG systems and LLM-powered agents, while providing technical leadership to the team.

Requirements

Requires a Master's or PhD in a quantitative discipline and at least 7 years of expert-level Python programming experience. Candidates must have 5+ years of experience in developing and deploying production-level machine learning models and working with large datasets.

Skills

Machine Learning
Python
Natural Language Processing
Generative AI
RAG
Data Analysis
MLOps
FastAPI
Flask
Git
Linux
Transformer Architecture
Deep Learning
Big Data
Pyspark
Model Deployment

Benefits

Bonuses
Flexible benefits
Competitive compensation
Stock options
Professional development coaching
Training program

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Artificial Intelligence
Generative AI
RAG
NLP
Python
Data Science
Compliance
Trade Surveillance
LLM
Transformer
MLOps
CI/CD
RESTful APIs
FastAPI
Flask
Git
Linux
Big Data
Pyspark
Scala
Tensorflow
Pytorch
LangChain
Predictive Analytics
Data Mining
Risk Management
Regulatory Technology
Model Risk Management
Vector Databases

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