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Added 12 mins ago
Q-
MONTREAL [hybrid] - MLOps Engineer
QUANTEAM - North America (RAINBOW PARTNERS Group)
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
…closeness, teamwork, diversity, and excellence, our team of 1,000 expert consultants, representing 35 different nationalities, collaborates across 10 international offices: Paris, Lyon, New…
Added 41 mins ago
M
CFD Engineer - AI Trainer
Mindrift
Remote, Canada
- Part-time
- Remote
Help train and evaluate AI agents on expert-level fluid simulation tasks. You'll take CAD geometry, set up and run simulations, build verified reference solutions, and write Python checks…
Added 41 mins ago
FG
Lead Software Engineer, Full-Stack Applications - AI Fluent
Fitch Group
Toronto, ON
- $180,000 to $220,000 CAD / year
Lead Software Engineer, Full-Stack Applications – AI Fluent
Added 2 hours ago
RI
Senior Full-Stack Java Developer (Front-Office / Capital Markets)
Rose International
Mississauga, ON
- Full-time
…Full-Stack Developer transitioning into a Forward Deployed Engineer-style, customer-facing delivery…
Added 10 hours ago
GC
Senior Engineer, Geotechnical
Glencore Canada
Sparwood, BC
- Full-time
Reporting to the Manager, Geological Engineering, the Senior Engineer, Geotechnical is responsible for:
Added 10 hours ago
MC
Senior Direct Response Copywriter - High-Ticket Coaching (Remote)
MM Coaching Limited
Remote, Canada
- Contract
- Remote
Email marketing expert: daily broadcasts, sequences, deliverability, and revenue attribution, not just open rates
Added 11 hours ago
Software Engineer I
Planview Incorporated
Vancouver, BC
…Planview Anvi, our next-generation enterprise AI that delivers expert guidance, intelligent recommendations, and actionable insights, turning complex data into decisive action from strategy…
Added 12 hours ago
J
Senior Orbit Dynamics & Mission Analysis Engineer
Jobgether
Canada
- Full-time
…partner is looking for a Senior Orbit Dynamics & Mission Analysis Engineer based in…
Added 12 hours ago
M
Senior Analytics Engineer - GTM
Motive
Vancouver, BC
- Full-time
As Senior Analytics Engineer - GTM, you’ll play a key role in helping our GTM team grow our business. You’ll report to the Director of Business Intelligence joining a centralized global…
Added 12 hours ago
J
Senior Orbit Dynamics & Mission Analysis Engineer
Jobgether
Canada
- Full-time
…partner is looking for a Senior Orbit Dynamics & Mission Analysis Engineer based in…
Added 14 hours ago
C
Solutions Designer, Splunk Montreal, Quebec, Canada
Cisco
Montreal, QC
- Full-time
Splunk is seeking a highly skilled and strategic Senior Solutions Engineer to join our Eastern Canada team. Splunk, a Cisco company, is building a safer and more resilient digital world…
Added 15 hours ago
TT
Intermediate Mechanical Engineer
Tetra Tech
Thunder Bay, ON
- Full-time
Tetra Tech is adding a Intermediate Mechanical Engineer to our Mechanical team based in Thunder Bay, ON . This is a new vacant position for which we are actively recruiting.
Added 15 hours ago
A
Microelectronics Packaging Design Engineer
Actalent
Ottawa, ON · Kanata, ON
- $110,000 to $160,000 CAD / year
- Full-time
Job Title: Microelectronics Packaging Design Engineer in Ottawa
Added 16 hours ago
G
Senior Engineer, Geotechnical
Glencore
Calgary, AB
- Full-time
Reporting to the Manager, Geological Engineering, the Senior Engineer, Geotechnical is responsible for:
Added 16 hours ago
C1
Senior Data Engineer, Microsoft Fabric - 6 month contract-(Hybrid)
Central 1
Vancouver, BC · Toronto, ON
- Full-time
Central 1 is seeking a highly experienced Senior Data Engineer and Microsoft Fabric Subject Matter Expert (SME) to lead the design, implementation, and optimization of enterprise-scale data…
Added 17 hours ago
C1
Senior Data Engineer, Microsoft Fabric - 6 month contract-(Hybrid)
Central 1
Vancouver, BC
- $85 to $100 CAD / hour
- Contract
Central 1 is seeking a highly experienced Senior Data Engineer and Microsoft Fabric Subject Matter Expert (SME) to lead the design, implementation, and optimization of enterprise-scale data…
Added 17 hours ago
C1
Senior Data Engineer, Microsoft Fabric - 6 month contract-(Hybrid)
Central 1
Toronto, ON
- Contract
Central 1 is seeking a highly experienced Senior Data Engineer and Microsoft Fabric Subject Matter Expert (SME) to lead the design, implementation, and optimization of enterprise-scale data…
Added 18 hours ago
Senior Engineer, Geotechnical
Elk Valley Resources
Calgary, AB · Sparwood, BC
Reporting to the Manager, Geological Engineering, the Senior Engineer, Geotechnical is responsible for:
Added 18 hours ago
EV
Senior Engineer, Geotechnical
Elk Valley Resources
Sparwood, BC
- Full-time
Reporting to the Manager, Geological Engineering, the Senior Engineer, Geotechnical is responsible for:
Added 20 hours ago
JC
Senior Databricks Engineer (ML/AI)
Jarvis Consulting Group
Toronto, ON
- $90 to $120 CAD / hour
- Contract
Jarvis Consulting has an immediate need for a Senior ML/AI Databricks Engineer.
Added 20 hours ago
O
Data Engineer | Data & AI Technology
Obsidi®
Toronto, ON
- Full-time
The Data Engineer plays a critical role within the Enterprise Data & AI Technology organization. This organization drives data enabled decision making, AI innovation, and technology…
Added 21 hours ago
RB
Lead AI Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
As a Lead AI Engineer, you are an expert professional with deep technical expertise who contributes to organizational objectives through innovative solutions to complex business challenges.…
Added 22 hours ago
R
Lead AI Engineer
RBC
Toronto, ON
- Full-time
As a Lead AI Engineer, you are an expert professional with deep technical expertise who contributes to organizational objectives through innovative solutions to complex business challenges.…
Added 22 hours ago
HO
Senior AI Engineer
Hydro One
Toronto, ON
- $90 to $110 CAD / hour
- Contract
We are looking for a Senior AI / Generative AI Engineer to design, build, and scale production-grade AI systems and intelligent agents, integrating advanced AI capabilities into enterprise…
Added 22 hours ago
Senior Power Systems Architect
Bell
Toronto, ON
…consumption and operational expense. Acting as a key subject matter expert, you will own and collaborate cross-functionally to standardize robust, resilient and highly efficient energy…

RBC

Lead AI Engineer

Toronto, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 27, 2026
Posting language: English
Posted: Oct 26, 2026

Original job description

Job Description

Lead AI Engineer

What is the Opportunity?

We are seeking an accomplished Lead AI Engineer to design, develop, and implement AI-driven solutions within our software development lifecycle. You will lead enterprise-scale AI integration initiatives, establish best practices, and advance the technical maturity of our engineering organization. This role actively contributes to improving our Agile, Engineering, and DevOps practices.

This position demands exceptional problem-solving skills, deep AI expertise, and proficiency in modern development technologies (.NET/C#, Java, Python). You will effectively communicate and collaborate with engineering teams, business stakeholders, and senior management across multiple projects and organizational boundaries.

Role Level and Responsibilities

As a Lead AI Engineer, you are an expert professional with deep technical expertise who contributes to organizational objectives through innovative solutions to complex business challenges. Your primary focus is identifying root causes and implementing solutions to critical business problems while assessing and communicating the technological impact on the business.

Key Activities

Evaluate enterprise software packages and AI platforms, recommending solutions to senior management
Lead and mentor colleagues in AI product reviews, pilot projects, and technology adoption
Conduct in-depth analysis of business requirements for large-scale, mission-critical projects
Perform feasibility studies and translate complex requirements into robust technical designs
Drive adoption of AI-driven practices across engineering teams

What You'll Do

AI Engineering & Implementation

Lead the design and development of MCP (Model Context Protocol) servers and tools for seamless AI integration
Design and implement AI-driven automation solutions, including LLM-powered automation, prompt engineering, and conversational AI
Develop ML model integration solutions and AI orchestration workflows with monitoring and evaluation
Integrate UiPath with enterprise AI platforms and APIs
Support implementation of agentic automation and advanced AI use cases

AI/ML Expertise & Governance

Integrate LLM APIs and apply advanced prompt engineering techniques
Design and maintain AI workflow orchestration systems
Implement Intelligent Document Processing and NLP solutions
Develop model evaluation, tuning, and governance frameworks
Design and manage vector databases and RAG (Retrieval-Augmented Generation) systems
Support responsible AI practices and governance models

AI-Driven Software Development Lifecycle (SDLC)

Implement AI spec-driven development practices for your squad
Contribute to AI/ML solutions that enhance code generation, testing, deployment, and monitoring
Integrate AI technologies into existing SDLC workflows and development tooling
Collaborate on governance and responsible AI implementation

Technical Leadership & Collaboration

Lead technology evaluation and assessment for organizational adoption
Collaborate with enterprise architecture, security, and compliance teams on AI integration
Contribute to technical training and knowledge-sharing initiatives across the organization

What You Need to Succeed

Must Have

10+ years of experience building and operating production software systems at scale
2–4 years of hands-on experience with LLMs and generative AI in production environments
Expert proficiency in .NET/C#, Java, Python, SQL, Git, and CI/CD pipelines
Deep knowledge of design patterns (MVC, MVVM), SOA, and architectural concepts; hands-on development experience with Azure Integration Services
Expert-level expertise in API architecture (REST/SOAP)
Advanced working knowledge of agentic AI patterns: tool use, agent orchestration, ReAct, multi-step reasoning, memory and context management
Proven proficiency in LLM API integration, prompt engineering, and RAG systems (vector databases, embeddings, retrieval strategies)
Demonstrated experience designing and building MCP servers and tools with agent-tool integration frameworks
Cloud platform expertise (AWS, Azure, or GCP), including containers (Docker/Kubernetes) and CI/CD pipelines
Strong collaboration and communication skills; comfortable with code reviews, design discussions, and pair programming
Ability to communicate technical decisions clearly to both technical peers and business stakeholders
Understanding of security, data governance, and responsible AI practices

Nice-to-Have

Experience with agentic automation and advanced AI solutions in production
Open-source contributions to automation or AI/ML projects
Microsoft Azure certification (Azure Developer Associate or Azure Solutions Architect Expert)
Experience building and training machine learning models (regression, classification, clustering) using frameworks like Scikit-learn, TensorFlow, or PyTorch

What's In It For You?

We thrive on the challenge to be our best, embrace progressive thinking, and work together to deliver trusted solutions that help our clients and communities prosper. We are committed to supporting each other's growth and creating mutual success.

Comprehensive Total Rewards Program including competitive compensation, bonuses, flexible benefits, commissions, and stock options where applicable
Development-focused leadership committed to your growth through coaching and career opportunities
Opportunity to make a meaningful, lasting impact on enterprise AI adoption
Dynamic, collaborative, and high-performing team environment
World-class training programs in financial services and emerging technologies

#TechPJ

Job Skills

Application Development, Application Integrations, Application Maintenance, Applications Architecture, Detail-Oriented, Enterprise Application Delivery, Group Problem Solving, Programming Languages, Software Development Life Cycle (SDLC), System Applications

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:

2026-08-26

Application Deadline:

2026-11-27

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.

Join our Talent Community

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.

Apply About employer

More about this job

Responsibilities

The Lead AI Engineer will design and implement enterprise-scale AI solutions, including LLM-powered automation and orchestration workflows. They will also mentor engineering teams and drive the adoption of AI-driven practices across the software development lifecycle.

Requirements

Candidates must have over 10 years of experience in production software systems and 2-4 years of hands-on experience with LLMs and generative AI. Proficiency in .NET, Java, Python, and cloud platforms like Azure is required, along with strong architectural and leadership skills.

Skills

AI Engineering
LLM
Generative AI
.NET
C#
Java
Python
SQL
Git
CI/CD
Azure
API Architecture
Prompt Engineering
RAG Systems
Vector Databases
Agentic AI

Benefits

Competitive compensation
Bonuses
Flexible benefits
Commissions
Stock options
Professional development coaching
Career opportunities

Visa sponsorship

Not detected in the job text

Keywords

AI Engineering
LLM
Generative AI
MCP
Prompt Engineering
Conversational AI
Machine Learning
UiPath
Agentic Automation
NLP
Vector Databases
RAG
SDLC
Azure
Docker
Kubernetes
CI/CD
API
REST
SOAP
MVC
MVVM
SOA
Scikit-learn
TensorFlow
PyTorch
Governance
Enterprise Architecture
Agile
DevOps

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