Find work in Canada.

507,216 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 10 mins ago
P
Data & AI Transformation Director
PwC
Toronto, ON
- Full-time
Added 25 mins ago
S
Data Scientist
SymphonyAI
Toronto, ON
- Full-time
We are reimagining financial crime compliance around connected risk intelligence, agent led workflows, and embedded governance, helping institutions strengthen controls, reduce manual…
Added 25 mins ago
TT
Loss Prevention Store Security Agent
The TJX Companies, Inc.
London, ON · Mississauga, ON · CAN Home Office Mississauga ON
- $37,590 to $52,626 CAD / year
- Full-time
We're seeking a Loss Prevention Store Security Agent to help create a safe, secure, and welcoming environment in our stores. In this impactful role, you’ll be instrumental in theft…
Added 25 mins ago
AI
AI SUPPORT ANALYST – GENERATIVE AI, M365 & TECHNICAL SUPPORT
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Montreal, QC
- Full-time
…interaction so that the knowledge feeds a future AI support agent. Each analyst maintains broad coverage of the full portfolio while owning one product as point of…
Added 25 mins ago
NS
AI Support Analyst
N2P Systems
Montreal, QC
- Full-time
…that supports the development of a future AI-powered support…
Added 26 mins ago
S
Senior Software Engineering Manager
symplistic.ai
Woodbridge, ON
- $150,000 CAD / year
- Full-time
Develop RAG pipelines, document ingestion, retrieval, enterprise search, and AI agent integrations.
Added 40 mins ago
Technical Consultant I
Zafin
Toronto, ON
Our portfolio includes Zafin AIOS, an agent orchestration platform for governed AI work; the Zafin Banking Platform, which helps banks modernize product, pricing, offers, billing, loyalty,…
Added 40 mins ago
RB
Senior Director, AI Architecture
Royal Bank of Canada
Toronto, ON
- Full-time
…architecture and approved patterns. Encode them as harness skills, agent constitutions and automated fitness checks, so standards apply at generation time rather than at…
Added 54 mins ago
Software Engineer - New Grad (2027 Start)
Databricks
Vancouver, BC
…Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and…
Added 55 mins ago
FS
Senior Python Developer
Futran Solutions
Mississauga, ON
- Full-time
Hands-on Gen AI/LLM experience: prompt design, tool/function calling, and agent orchestration.
Added 1 hour ago
PC
Finance Managed Services Senior Associate
PwC Canada
Calgary, AB
- Full-time
Added 1 hour ago
NB
Senior Director AI and Operations Engineering
National Bank of Canada
Montreal, QC
- Full-time
…solutions that combine AI, automation, software development and agent technologies to simplify processes, increase operational capacity, improve the client experience and employé.es and…
Added 1 hour ago
SL
Student, Quality Engineering Analyst (Winter 2027)
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Waterloo King
- Full-time
Evaluate AI-generated outcomes: Help define test scenarios, expected evidence and quality checks for agent outputs. Review results for accuracy, usefulness, traceability, and appropriate…
Added 1 hour ago
C
Senior AI Scientist
CIBC
Toronto, ON
- Full-time
…with frameworks such as LangChain, LangGraph, or Microsoft Agent Framework. You have applied tool calling, memory, evaluation, and guardrails to support secure and reliable use in regulated…
Added 1 hour ago
C
People Change Management & Communications Co-op
CIBC
Toronto, ON
- Full-time
…Contact Centre via digitization, conversational AI, Gen AI agent assist and cloud technologies. The People Change Management & Communications Co-op will have the opportunity to support…
Added 1 hour ago
O
Customer Experience Test Automation Intern
OpusClip
Burnaby, BC
- $25 to $28 CAD / hour
- Full-time
🎨 OpusClip is the world's No.1 AI video agent, built for authenticity on social media.
Added 1 hour ago
HT
Hardware & Embedded Systems Engineer - AI-Edge Devices
Huawei Technologies Canada Co., Ltd.
Markham, ON
- Contract
…wearables, and emerging devices - advancing agentic workflows, multi-agent orchestration, and intuitive human-AI interfaces. By tightly integrating sensing, algorithms, and systems, our…
Added 1 hour ago
R
Senior Director, AI Architecture
RBC
Toronto, ON
- Full-time
…architecture and approved patterns. Encode them as harness skills, agent constitutions and automated fitness checks, so standards apply at generation time rather than at…
Added 1 hour ago
P
Finance Managed Services Senior Associate
PwC
Calgary, AB · Vancouver, BC · Toronto, ON
- Full-time
Added 2 hours ago
TA
Agentic AI Architect
Tiger Analytics
Canada
- Full-time
…execution. You will be responsible for designing scalable, multi-agent AI ecosystems on cloud hyperscalers (Azure, AWS, or GCP), while staying close enough to the codebase to build…
Added 2 hours ago
E
Spécialiste IA et automatisation de processus
EXFO
Quebec, QC · Greater Quebec City Metropolitan Area
- Full-time
Added 2 hours ago
MC
Service Agent
Medical Council of Canada
Ottawa, ON
- $57,500 to $65,500 CAD / year
- Full-time
As a Service Agent, you’ll be the friendly first point of contact for MCC clients, playing an important role in helping the department achieve its goals. In this bilingual role, you’ll…
Added 2 hours ago
T
SAP AI Orchestration Developer
Talan
Toronto, ON · Montreal, Québec
- $140,000 to $200,000 CAD / year
- Full-time
…Delivery for engagement assignment, the SAP AI Orchestration Developer designs and builds AI-enabled business processes on the SAP Business AI…
Added 2 hours ago
M&
Editor - Search and Discovery
McKinsey & Company
Toronto, ON
- Full-time
Added 2 hours ago
E
Talent Acquisition Intern
Ericsson
Ottawa, ON
- Full-time

RBC

Senior Director, AI Architecture

Toronto, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 20, 2026
Posting language: English
Posted: Oct 27, 2026

Original job description

Job Description

What is the opportunity?

This leader sets one standard way to build, secure and run AI across RBC Technology & Operations. They own the reference architecture for retrieval-augmented generation (RAG), AI agents, model access and AI-native software delivery (AI-DLC). The role turns the 2030 T&O ambitions, including AI-native delivery and 30% of GenAI volume on open-weight models, into patterns teams actually use.

Success means fewer bespoke stacks, faster delivery with maintainable code, and AI that Internal Audit, Model Risk and OSFI can trust.

What will you do?

AI architecture standards as code. Define the enterprise AI reference architecture and approved patterns. Encode them as harness skills, agent constitutions and automated fitness checks, so standards apply at generation time rather than at review.

Common RAG substrate. Converge the many RAG solutions onto one shared platform: ingestion, chunking, embeddings, hybrid retrieval, reranking and evaluation. Retrieval must respect source entitlements by default. Set a retirement plan for duplicate stacks.

Agent sandboxing and security architecture. Design the sandbox standard for every agentic workload: ephemeral environments, egress allow-lists, short-lived task-scoped credentials and no standing production access. Own agent identity, tool access through a governed MCP gateway and registry, and defenses against prompt injection and poisoned tools.

AI-DLC harness and quality gates. Own the harness architecture from spec to release. Make quality gates deterministic and mandatory: tests and coverage, static analysis, complexity and duplication limits, dependency and license checks, security scanning and architecture fitness checks. Enforce separation of duties (the agent that writes a change cannot approve it), PR size limits and traceability from spec to deployment.

Skills and evaluation lifecycle. Treat skills like code: owned, versioned, regression-tested with evals and retired when stale. Re-run evals before any model upgrade reaches teams.

Model gateway and inference architecture. Route work across frontier and open-weight models by cost, risk and jurisdiction. Build in token metering, caching and data-classification rules so cost and residency are enforced by the platform.

Risk-tiered control model. Partner with Internal Audit, Model Risk and Cyber to define human-oversight tiers, from human-on-the-loop for low-risk work to human-in-the-loop for payments and core banking. Align with OSFI Guidelines E-23 and B-13.

Design authority and innovation. Chair AI architecture review, keep decision records and manage exceptions. Graduate proven lab work into the platform and evaluate emerging technology, such as agent protocols and new open-weight models.

What do you need to succeed?

15+ years in architecture or engineering, including 5+ years leading architects or engineers at enterprise scale.

Hands-on depth in LLM systems: RAG, agent frameworks, MCP, evaluation and inference serving on cloud and on-premises GPUs.

Security architecture for AI, including the OWASP Top 10 for LLM applications, sandboxing and identity for non-human actors.

Strong DevSecOps and SDLC background; you have shipped quality gates engineers accepted rather than routed around.

Experience in a regulated industry, ideally financial services under OSFI.

Credibility with engineers: you still prototype and read code. Able to explain trade-offs plainly to executives and audit.

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
Flexible work/life balance options
Opportunities to do challenging work

#TECHPJ

Job Skills

Big Data Management, Data Modeling, Data Science, Decision Making, Deep Learning, Machine Learning (ML), Predictive Analytics, Programming Languages, Relationship Building

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:

2026-10-27

Application Deadline:

2026-11-20

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 Senior Director will define and implement enterprise-wide AI architecture standards, including RAG substrates, agent sandboxing, and AI-DLC quality gates. They will also partner with internal audit and risk teams to ensure AI deployments meet regulatory guidelines and security requirements.

Requirements

Candidates must have 15+ years of experience in architecture or engineering, with at least 5 years in a leadership role at an enterprise scale. Deep hands-on expertise in LLM systems, AI security, and experience within a regulated financial industry are essential.

Skills

AI Architecture
LLM Systems
RAG
Agent Frameworks
MCP
Security Architecture
DevSecOps
SDLC
Financial Services
Big Data Management
Data Modeling
Data Science
Deep Learning
Machine Learning
Predictive Analytics
Programming Languages

Benefits

Bonuses
Flexible benefits
Competitive compensation
Commissions
Stock options
Training program
Flexible work/life balance

Visa sponsorship

Not detected in the job text

Keywords

AI Architecture
LLM
RAG
AI Agents
AI-DLC
DevSecOps
SDLC
OSFI
Cybersecurity
Cloud
GPUs
MCP Gateway
Prompt Injection
Token Metering
Data Classification
Big Data Management
Data Modeling
Data Science
Deep Learning
Machine Learning
Predictive Analytics
Programming Languages
Financial Services
Architecture Review
Governance
Risk Management
Internal Audit
Model Risk
Enterprise Architecture
Software Delivery

Report this job