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Added 6 mins ago
M
RQ11599 - Technology Architect - Senior
Maarut
Toronto, ON
- Contract
architect for enterprise web- enable anti-virus file scanning solution
Added 6 mins ago
M
RQ11485 - Data Architect/Modeller - Senior
Maarut
Toronto, ON
- Contract
with related IT initiatives as required to align with the enterprise data
Added 7 mins ago
DM
Senior Zoho Developer
DULCEDO Management
Toronto, ON
- Full-time
We're looking for a Senior Zoho Developer to help us accelerate the development, customization, and optimization of our internal business systems.
Added 37 mins ago
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Architecte solutions
Akkodis
Toronto, ON
- $160,000 to $190,000 CAD / year
- Full-time
The Technical Solution Architect is responsible for designing, architecting, and overseeing the implementation of technology solutions that align with business and technical requirements.…
Added 37 mins ago
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Senior Technology Architect – Oracle Database & Middleware
ThoughtStorm
Toronto, ON
- Contract
We are looking for a Senior Technology Architect with extensive experience in enterprise database administration, middleware architecture, and infrastructure management.
Added 1 hour ago
M
RQ11571 - Information Architect - Senior
Maarut
Toronto, ON
- Contract
their clients and enterprise I&IT organizations).
Added 1 hour ago
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RQ11575 - Data Architect/Modeller - Senior
Maarut
Toronto, ON
- Contract
these requirements, and aligns with the enterprise strategy and related
Added 2 hours ago
AC
SAP EWM Consultant
Avance Consulting
Canada
- Full-time
Analyze complex business processes to identify optimization opportunities and draft detailed requirement specifications that align with enterprise architecture standards
Added 2 hours ago
R&
Ottawa - .NET/Angular Technical Architect
Robertson & Company Ltd.
Ottawa, ON
- Contract
We are currently looking for a Senior Software Developer / Technical Architect to support a Federal Government defence application environment. The successful candidate will support the…
Added 2 hours 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 2 hours ago
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Data Architect
Bevertec
Toronto, ON
- $100 to $105 CAD / hour
- Contract
…integrated designs to meet these requirements, and aligns with the enterprise strategy and related business…
Added 2 hours ago
SS
Senior ETL developer with Snowflake
Syncredible Solutions
Calgary, AB
- Contract
…technology. we specialize in Digital transformation services, Enterprise solutions, Power BI Analytics solutions and staffing…
Added 3 hours ago
I
Technology Architect - Senior
isgSearch
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Seeking a Senior Technology Architect / Database Administrator to lead enterprise infrastructure architecture, database administration, middleware support, system integration, and…
Added 3 hours ago
P&
Architecte principal national / Country Lead Architect
Pratt & Whitney
Longueuil, QC
- Full-time
Added 3 hours ago
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Senior Technology Architect
Bevertec
Toronto, ON · Greater Toronto Area, Canada
- Contract
We are seeking a Senior Technology Architect with strong expertise in Oracle Database, IBM TRIRIGA, WebSphere, ODI, SQL Server, Hadoop, Linux/Unix, and enterprise infrastructure…
Added 4 hours ago
Senior Product Marketing Manager, Marketing & Operations Audiences
Asana
Vancouver, BC
…and inspire current ones to grow with us. We're looking for a Senior Product Marketing Manager to join our Solutions and Audience Marketing team in Vancouver to own how Asana shows up to…
Added 4 hours ago
Senior Product Marketing Manager, IT and AI Transformation
Asana
Vancouver, BC
Senior Product Marketing Manager, IT & AI Audiences
Added 4 hours ago
Principal Architect
Zafin
Toronto, ON
The Principal Architect is a senior technical leadership role responsible for defining and maintaining the architectural standards, integration patterns, and technical governance for AI…
Added 4 hours ago
RB
Lead AI Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Evaluate enterprise software packages and AI platforms, recommending solutions to senior management
Added 4 hours ago
T
Senior Data Architect/Modeller – Common & Canonical Data Models
ThoughtStorm
Toronto, ON
- Contract
Enterprise, common, canonical and domain data models for interoperability and data sharing.
Added 4 hours ago
R
Lead AI Engineer
RBC
Toronto, ON
- Full-time
Evaluate enterprise software packages and AI platforms, recommending solutions to senior management
Added 5 hours ago
SM
RQ00824 – Security Architect – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
We are seeking a Senior Security Architect with extensive experience in Cyber Security Incident Response (CSIRT/SOC), incident coordination, security program maturity, and hands-on Zero…
Added 5 hours ago
ES
Salesforce Consultant
Epsilon Solutions Ltd.
Toronto, ON
- Contract
We are looking for a Senior Salesforce Consultant to provide domain, technical and architectural depth on a capability assessment for a large enterprise client. You will evaluate how the…
Added 6 hours ago
R
Architecte principal national / Country Lead Architect
RTX
Longueuil, QC
- Full-time
Added 6 hours ago
B
Information Architect - Senior
Bevertec
Toronto, ON
- Contract
Demonstrated experience developing enterprise information architecture frameworks, principles, standards and roadmaps.

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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