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Added 3 mins ago
K
AWS Cloud Engineering Team Lead
Kyndryl
Toronto, ON
- Contract
Our financial sector client requires the services of an AWS Cloud Engineer Team Lead to support the Cloud Platform and Product Components
Added 3 mins ago
CI
Principal Architect
Camis Inc
Guelph, ON
- Full-time
We are committed to building software that stands the test of time, and we're looking for a Principal Architect to define the technical direction of our Parks & Recreation platform.
Added 3 mins ago
T
Senior Azure DevOps Engineer | CI/CD | Infrastructure as Code | Cloud Operations
ThoughtStorm
Toronto, ON
- Contract
We are seeking a Senior Azure DevOps Engineer to support enterprise cloud platforms and digital service delivery initiatives.
Added 3 mins ago
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RQ11740 - DevOPS/Cloud Engineer - Senior
Maarut
Toronto, ON
- Contract
Provision and configure cloud infrastructure and platform
Added 33 mins ago
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DevOPS/Cloud Engineer
isgSearch
Toronto, ON · Greater Toronto Area, Canada
- Contract
Seeking a Senior DevOps Engineer with 7+ years of experience designing and supporting cloud-based enterprise applications, CI/CD pipelines, infrastructure automation, and production…
Added 33 mins ago
FT
Senior Electrical Engineer
Foreseeson Technology
Richmond, BC
- Contract
Foreseeson is seeking a Senior Electrical Engineer to lead electrical architecture, hardware design, system integration, and engineering validation throughout the development of this…
Added 1 hour ago
TT
Senior Integration Platform Engineer - AI Modernization
Tech Talent International
Montreal, QC · Greater Montreal Metropolitan Area
- $130,000 to $140,000 CAD / year
- Full-time
We currently have a role as an Senior Integration Platform Engineer - AI Modernization with our large consulting client, working for a large modernization project for a public sector, crown…
Added 1 hour ago
AF
Cloud Security Analyst
ATB Financial
Calgary, AB
- Full-time
As ATB’s next Cloud Security Analyst, you'll help protect our cloud environments by identifying security risks, strengthening controls, and working with engineering teams to resolve…
Added 1 hour ago
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Data Engineer | Data & AI Technology
Obsidi®
Toronto, ON
- Full-time
You will partner with stakeholders and product managers to gather requirements, design ingestion patterns, and onboard new data sources into the cloud data platform.
Added 1 hour ago
NI
Data Modeler
Nityo Infotech
Toronto, ON
- Contract
The Senior Data Modeller/Engineer will support Enterprise Payments’ operational data store by combining advanced JSON/MongoDB data modeling with cloud-based data engineering on the Rahona…
Added 1 hour ago
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Python & Database Engineer
Wissen Technology
Montreal, QC
- Full-time
We are seeking a Python & Database Engineer with 3–5 years of experience in developing scalable applications, building data pipelines, and optimizing database solutions. The ideal candidate…
Added 1 hour ago
RA
Software Engineer
RentSimple AI
Vancouver, BC
- Full-time
Role Description This is a full-time, on-site Software Engineer role based in the Greater Vancouver Metropolitan Area. The Software Engineer will design, build, and maintain backend…
Added 1 hour ago
MS
Jr. Software Engineer - Java, Angular, JavaScript
Motorola Solutions
ON · Gatineau, QC · Quebec, QC
- Full-time
Knowledge of at least one cloud platform (AWS, Azure, GCP) Practical knowledge of one or more of these technologies (at least on a basic level): Spring Boot, Angular, Terraform, Kubernetes
Added 2 hours ago
RB
Lead AI Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Cloud platform expertise (AWS, Azure, or GCP), including containers (Docker/Kubernetes) and CI/CD pipelines
Added 2 hours ago
Software Dev Engineer, Pricing Shared Platform
Amazon
Vancouver, BC
To help meet these goals, we are looking for a passionate, talented Software Development Engineer. We are looking for someone who innovates, loves solving hard problems, and looks for 'yes'…
Added 2 hours ago
Software Dev Engineer, Pricing Shared Platform
Amazon
Vancouver, BC
To help meet these goals, we are looking for a passionate, talented Software Development Engineer. We are looking for someone who innovates, loves solving hard problems, and looks for 'yes'…
Added 2 hours ago
Platform Engineer - AI Engineering
DRW
Montreal, QC
We are looking for a Platform Engineer to help build and operationalize our AI tooling ecosystem. Working closely with the Team Lead and Senior/Staff SWE, you will be the hands-on…
Added 2 hours ago
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Lead AI Engineer
RBC
Toronto, ON
- Full-time
Cloud platform expertise (AWS, Azure, or GCP), including containers (Docker/Kubernetes) and CI/CD pipelines
Added 2 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 2 hours ago
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Senior Software Engineer
GryphTech
Mississauga, ON
- Full-time
Senior Software Engineer (AI-First Engineering)Position Summary
Added 2 hours ago
MS
Software Developer II
Motorola Solutions
Vancouver, BC
- Full-time
…Unusual Motion Detection, and our recently launched Avigilon Cloud Service platform. You will be able to contribute to intelligent camera surveillance systems through cutting-edge research…
Added 3 hours ago
CS
Senior DevOps Engineer
CQ Search Group Ltd.
Toronto, ON
- Contract
Our client, the Ministry of Public and Business Service Delivery and Procurement downtown has a 12 month renewable contract for a Devops Engineer.
Added 3 hours ago
EN
Senior Network Engineer
EGATE Networks
Canada
- Full-time
We’re growing and looking to add a Senior Network Engineer to our team!
Added 3 hours ago
SM
RQ00816 – Security Specialist – Intermediate
S M Software Solutions Inc
Toronto, ON
- Full-time
Proven experience operating a Cloud Security Posture Management (CSPM) or Cloud-Native Application Protection Platform (CNAPP), including configuring rules, analysing findings, and managing…
Added 3 hours ago
TH
Software Engineer - Mobile App (Expo/React Native)
TopHat HR
Toronto, ON · Greater Toronto Area, Canada
- $95,000 to $105,000 CAD / year
- Full-time
…talent. They are looking for a motivated and capable Software Engineer to help build and ship a cross-platform mobile application targeting iOS and…

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.

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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

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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