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Added 19 days ago
Senior Java Backend Engineer – AI/Workflow
Astek
Montreal, QC
Full-time
3 + years of hands-on software development experience in Java ecosystem
Added 19 days ago
Senior Salesforce Automation Test Engineer
Cognizant
Toronto, ON
$90,000 to $125,000 CAD / year
Full-time
Must have 6+ years of hands-on test automation using modern programming languages (e.g., Java or Python) paired with web automation tools (e.g., Selenium or Playwright).
Added 18 days ago
Software Engineer, Senior
Qualcomm
Toronto, ON
Full-time
2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.
Added 18 days ago
Staff Engineer – Software Development, Architecture, Security & Governance
Royal Bank of Canada
Toronto, ON
Full-time
Strong proficiency in Python and/or experience in additional languages such as NodeJS, Java, or C++.
Added 18 days ago
Staff Engineer – Software Development, Architecture, Security & Governance
RBC
Toronto, ON
Full-time
Strong proficiency in Python and/or experience in additional languages such as NodeJS, Java, or C++.
Added 18 days ago
Senior Software Engineer
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
Full-time
We are looking for a hands-on Senior Software Engineer to design, build, and operate scalable cloud-native backend services and distributed applications. You will work primarily with Java,…
Added 20 days ago
Senior Java Software Engineer
Synechron
Mississauga, ON
$115,000 to $122,000 CAD / year
Full-time
We are looking for a highly skilled Senior Java Developer to join our company. In this role, candidate will design, create, and implement various Java-based solutions for the business that…
Added 19 days ago
Senior Full Stack Engineer - Chief Technology Officer (CTO) - Platform Engineer
HSBC
Toronto, ON
Full-time
Join Chief Technology Officer (CTO) Platforms as a Senior Full Stack Engineer focused on app.hsbc with end-to-end responsibility for one or more platform products and services. This is a…
Added 20 days ago
Staff Engineer, Site Reliability Engineering
General Motors
Markham, ON
Full-time
We are seeking a Staff Engineer to help make GM’s data platforms reliable, observable, operable, and scalable. This is a senior technical leadership role for someone who can move…
Added 24 days ago
Senior Site Reliability Engineer I
Braze
Toronto, ON
Full-time
Professional Experience: 5+ years of experience as a DevOps, or Site Reliability Engineer in a high-scale production environment
Added 24 days ago
Senior Site Reliability Engineer I
Braze
Vancouver, BC
Full-time
Professional Experience: 5+ years of experience as a DevOps, or Site Reliability Engineer in a high-scale production environment
Added 25 days ago
Senior Platform RUN Engineer
InVita Healthcare Technologies
ON · Ontario, Canada
Full-time
Experience using scripts to automate the configuration of services and tools via their APIs or SDKs with a background using Python and other tools (e.g., PowerShell, Bash)
Added 25 days ago
Offensive Security Engineer
Synechron
Toronto, ON
$110,000 to $120,000 CAD / year
Full-time
Advanced technical proficiency in multiple programming language (Java, C#, C, C++, Python, JavaScript/TypeScript, .NET, Go) with proven ability to personally write, review, and remediate…
Added 25 days ago
QE Lead, Quality, Non-Functional
Vancity
ON · Ontario, Canada
Full-time
As an Engineering Lead, Quality, Non-Functional, you will play a senior technical role responsible for ensuring the quality engineering capabilities, performance, scalability, reliability,…
Added 1 month ago
Quality Assurance Automation Engineer
Synechron
Calgary, AB
$85,000 to $90,000 CAD / year
Full-time
We are seeking a highly skilled and adaptable Senior QA Automation Engineer (SDET) to join our dynamic, global QA team. The ideal candidate thrives in fast-paced, ever-evolving environments…
Added 24 days ago
Lead Java Developer
INFOYA
Toronto, ON
$110,000 to $115,000 CAD / year
Full-time
Developer, Technical Lead, or senior engineer with ownership of design
Added 20 days ago
Software Engineer II, Platform
Ripple
Toronto, ON
3–6 years of relevant work experience with development background in Go, Python, or Java, with a good understanding of software engineering best practices and system design
Added 10 days ago
Backend / Microservices Engineer
Synechron
Mississauga, ON
Full-time
We are looking for a Senior Java Back End developer to support our banking client. Needing at least seven years of experience and previous banking experience is highly desired. Build the…
Added 27 days ago
Senior Full Stack Software Engineer
Motion Recruitment
Toronto, ON
$160,000 to $220,000 USD / year
Full-time
…analytics space. This full-time opportunity is ideal for a Senior Software Engineer who enjoys working across Java, Spring Boot, Python, React, cloud technologies, and AI-powered platforms…
Added 20 days ago
Senior Site Reliability Engineer I
Braze
Vancouver, BC
Professional Experience: 5+ years of experience as a DevOps, or Site Reliability Engineer in a high-scale production environment
Added 20 days ago
Senior Site Reliability Engineer I
Braze
Toronto, ON
Professional Experience: 5+ years of experience as a DevOps, or Site Reliability Engineer in a high-scale production environment
Added 19 days ago
Lead AI Engineer
Royal Bank of Canada
Toronto, ON
Full-time
…and proficiency in modern development technologies (.NET/C#, Java, Python). You will effectively communicate and collaborate with engineering teams, business stakeholders, and senior…
Added 25 days ago
QE Lead, Quality, Non-Functional
Vancity
Vancouver, BC · Toronto, ON
Full-time
As an Engineering Lead, Quality, Non-Functional, you will play a senior technical role responsible for ensuring the quality engineering capabilities, performance, scalability, reliability,…
Added 25 days ago
QE Lead, Payments
Vancity
Vancouver, BC · Toronto, ON
Full-time
As an QE Lead, Payments, you will play a senior technical role responsible for ensuring the quality, reliability, and performance of member-facing platforms through hands-on engineering…
Added 10 days ago
Lead AI Engineer
RBC
Toronto, ON
Full-time
…and proficiency in modern development technologies (.NET/C#, Java, Python). You will effectively communicate and collaborate with engineering teams, business stakeholders, and senior…

RBC

Lead AI Engineer

Toronto, ON, Canada

Job type: Full-time
Apply by: Oct 9, 2026
Posting language: English
Posted: Sep 11, 2026

Apply About employer

Applications open in a new tab.

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:

2026-10-09

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.

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More about this job

Responsibilities

The Lead AI Engineer will design and implement enterprise-scale AI solutions, including LLM-powered automation and model orchestration. They will also provide technical leadership by mentoring teams and establishing governance frameworks for responsible AI adoption.

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 communication 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
Coaching
Career opportunities
Training programs

Visa sponsorship

Not detected in the job text

Keywords

AI Engineering
LLM
Generative AI
Prompt Engineering
RAG
Vector Databases
Agentic AI
Azure
CI/CD
Docker
Kubernetes
Python
Java
C#
.NET
SQL
API
NLP
Machine Learning
SDLC
Agile
DevOps
Governance
Model Context Protocol
UiPath
Software Architecture
Enterprise Integration
Technical Leadership
Cloud Computing
Automation

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