Jobs in Canada

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Added 45 mins ago
T
Senior Azure DevOps Engineer
Teqfocus
Toronto, ON
- Contract
…Engineer with strong expertise in CI/CD pipeline development, Microsoft Azure cloud infrastructure, Infrastructure as Code (IaC), and deployment automation to join our team in…
Added 2 hours ago
GM
Digital Media Specialist
Gaulin Media
Balzac, AB
- Full-time
Intermediate level skills in Microsoft Office Suite.
Added 2 hours ago
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POS Integration & Implementation Engineer – Retail Data
nugget.ai
Mississauga, ON
- Contract
Work with Microsoft SQL Server, PostgreSQL, MySQL, or equivalent relational databases.
Added 3 hours ago
FA
Tooling Engineer
FTAI Aviation
Montreal, QC
- Full-time
Proficiency with Microsoft Office tools (Excel, Word, PowerPoint).
Added 4 hours ago
LH
Director, Technology Delivery and Enablement
Lifemark Health Group
Brampton, ON
- $130,000 to $160,000 CAD / year
- Full-time
This is a hybrid position, with four days per week in the office and one day remote
Added 5 hours ago
TC
Senior AI Solutions Lead Resource
ThirdEye CyberSecurity
Regina, SK
- Contract
Must have a minimum of five (5) years experience delivering software solutions; · Must have a minimum of two (2) years experience developing AI solutions;
Added 7 hours ago
RM
Manager - Diagnostic Imaging
Ross Memorial Hospital
Kawartha Lakes, ON · Lindsay, ON
- Full-time
…key liaison between clinical operations and the shared EPIC platform, championing best practices in digital health across the…
Added 7 hours ago
T
AI Solutions Lead
TransAlta
Calgary, AB
- Full-time
Experience with Microsoft technologies such as Microsoft 365 Copilot, Copilot Studio, Microsoft Foundry/Azure AI, GitHub/GitHub Copilot, Power Platform, Power Automate and Azure.
Added 8 hours ago
CO
Temporary Technical Lead (Housing Accelerator Fund) Up to 18 Months
City of Saint John
Saint John, NB
- Temporary
…services through the implementation of a new digital permitting platform, enhancing efficiency, transparency, and customer service for residents, businesses, and…
Added 8 hours ago
HT
Senior Architect
Hirematic Talent Solutions
ON
- Full-time
Experience Cloud (Azure or AWS), Cyber Security, Enterprise and Solution Architecture, Java, Microsoft .Net.
Added 9 hours ago
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Senior Consultant, Network Security Engineering
Deloitte
Toronto, ON
- Full-time
Cloud and hybrid environments such as Microsoft Azure, Amazon Web Services (AWS) or Google Cloud Platform (GCP)
Added 9 hours ago
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Agentic AI Platform Specialist
Bombardier
Dorval, QC
- Full-time
The Agentic AI Platform Specialist is responsible for the development, administration, technical evolution, and continuous improvement of enterprise agentic AI platforms and AI agent…
Added 10 hours ago
IS
DevOps & Cloud Infrastructure Engineer
Idealogical Systems Inc
Markham, ON
- Full-time
Our product platform runs on Google Cloud using Cloud Run, Cloud SQL, Artifact Registry, and GKE, with deployments through Bitbucket Pipelines. Client applications run on Laravel across…
Added 10 hours ago
A
RQ11863-Microsoft Dynamics 365 CRM Developer
Amyantek
Toronto, ON
- Contract
Demonstrated proficiency in CRM platform development and configuration, preferably Microsoft Dynamics 365 Customer Engagement (CRM), including entities, forms, views, dashboards, workflows,…
Added 10 hours ago
CW
Business Development Specialist, full-time position
City Wide Facility Solutions
Vancouver, BC
- $43,000 to $55,000 CAD / year
- Full-time
Manage and update the Customer Relationship Management (CRM) database (Microsoft Dynamics), including - scheduled calls, updated client records, notes from each call, and appointments set
Added 10 hours ago
CW
Business Development Specialist, full-time position
City Wide Facility Solutions
Burnaby, BC
- $43,000 to $55,000 CAD / year
- Full-time
Manage and update the Customer Relationship Management (CRM) database (Microsoft Dynamics), including - scheduled calls, updated client records, notes from each call, and appointments set
Added 11 hours ago
SM
RQ11860 – Database Administrator – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 11 hours ago
SM
RQ11863 – Software Developer – CRM – Intermediate
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 11 hours ago
KC
Associate Director, Programmatic
Kim Cosic Consulting Inc.
Toronto, ON · Greater Toronto Area, Canada
- Full-time
…hands-on experience with programmatic and ecommerce media, strong platform expertise, excellent client and partner communication skills, and experience managing and developing direct…
Added 11 hours ago
MC
AI & Automation Developer
Morgan Construction and Environmental Ltd.
AB · Edmonton, AB
- Full-time
Morgan Construction and Environmental Ltd. (MCEL) is building an integrated digital operating platform across construction and environmental field operations. Working alongside MCEL's AI…
Added 12 hours ago
M
Gestionnaire des ressources énergétiques / Energy Resource Manager
Microsoft
Quebec, QC
- Full-time
En accord avec nos valeurs Microsoft, nous nous engageons à cultiver un environnement de travail inclusif pour tous les employés afin d'avoir un impact positif sur notre culture chaque…
Added 12 hours ago
M
Senior Product Manager
Microsoft
Vancouver, BC
- Full-time
Microsoft's Azure Data engineering team is leading the transformation of analytics in the world of data with products spanning databases, data integration, big data analytics, messaging,…
Added 12 hours ago
F
Civil Material Controller
Fluor
Vancouver, BC
- Full-time
Proficient in Microsoft Office Suite, with a strong emphasis on Microsoft Excel.
Added 12 hours ago
M
Swarm Data Platform Solution Engineer
Microsoft
Toronto, ON
- Full-time
…our team as a Cloud & AI Solution Engineer in Innovative Data Platform for commercial customers at Microsoft. Here, you'll be at the forefront of innovation, working on cutting-edge…
Added 12 hours ago
HP
Project Manager
HighView Partners
Calgary, AB
- $89,000 to $123,000 CAD / year
- Full-time
The position is based in Calgary, Alberta, with a flexible hybrid arrangement requiring a minimum of three days per week in the office

CIBC

Senior Consultant, AI Safety and Guardrails Engineering

Toronto, ON, Canada

Full-time

Apply on cibc.wd3.myworkdayjobs.com About employer

Applications open in a new tab.

Job details

Job type: Full-time
Posting language: English
Posted: Oct 7, 2026

Original job description

We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

To learn more about CIBC, please visit CIBC.com

What you’ll be doing

The Enterprise AI Governance Office (AIGO), part of the Enterprise Advanced Analytics and AI Hub at CIBC, helps ensure AI activities are governed in line with the Enterprise AI Framework and its supporting processes and standards. As a Senior Consultant, AI Safety and Guardrails Engineering, you’ll help advance CIBC’s Governed AI by Design mandate by translating AI policies, standards, and risk requirements into practical, testable, and reusable technical controls. You’ll design, prototype, and validate governance controls, and support their implementation across the platforms, development pipelines, and operational processes used to develop and deploy AI. Working closely with Machine Learning Operations (MLOps), platform engineering, architecture, cybersecurity, risk, and AI delivery teams, you’ll help integrate governance into the AI lifecycle in a way that supports responsible innovation. While technology and platform teams will retain ownership of production platforms, pipelines, and deployments, you’ll provide the governance engineering patterns, control requirements, validation, and advisory support needed for effective implementation.

At CIBC we enable the work environment most optimal for you to thrive in your role. You'll have the flexibility to manage your work activities within a hybrid work arrangement where you'll spend 1-3 days per week on-site, while other days will be remote.

How you’ll succeed

Governance engineering - Translate AI policies, standards, and risk requirements into policy-as-code patterns, automated checks, deployment gates, configuration rules, runtime guardrails, and measurable acceptance criteria. Define the evidence required to demonstrate that controls are implemented appropriately and remain effective over time.
AI lifecycle integration - Partner with MLOps, platform engineering, and AI delivery teams to design and support governance controls across model onboarding, evaluation, approval, release, monitoring, and change management. Help integrate these controls into continuous integration and continuous delivery (CI/CD) pipelines in a way that supports delivery efficiency.
Reusable control patterns - Design, prototype, and validate reference implementations, control patterns, and technical guidance that can be adopted consistently across AI platforms and use cases. Support teams using technologies such as Microsoft Azure and Databricks in implementing controls for lifecycle management, access governance, traceability, evaluation, and monitoring.
Generative and agentic AI guardrails - Help design and validate technical guardrails for large language model applications and AI agents, including agent identity, tool access, permissions, human approval checkpoints, memory, external connectivity, execution boundaries, and traceability of agent actions. Contribute to scalable governance patterns for emerging AI architectures and operating models.
Control assurance and effectiveness - Prototype approaches to capture control configurations, test results, approvals, and operational telemetry to reduce manual effort in AI risk assessments and ongoing oversight. Work with relevant teams to evaluate controls related to reliability, inappropriate outputs, prompt injection, sensitive data disclosure, unauthorized actions, and other applicable AI risks, while helping define remediation and escalation criteria.
Risk advisory and continuous improvement - Review AI solution designs, identify control gaps, and recommend practical mitigations that are proportionate to the use case and its risk. Help define monitoring expectations, material change triggers, and exception requirements so governance controls continue to operate effectively as AI solutions evolve.

Who you are

You can demonstrate hands-on engineering experience. You have experience in software engineering, machine learning engineering, MLOps, or AI platform engineering, including developing or supporting production systems. You bring strong programming skills, preferably in Python, along with practical experience using application programming interfaces, Git, automated testing, and CI/CD pipelines.
You understand how AI solutions move into production. You have a strong understanding of the AI and machine learning lifecycle, including data preparation, model and application evaluation, deployment, versioning, monitoring, and change management. You can translate policy and risk requirements into technical designs, implementation tasks, and testable acceptance criteria.
You have experience implementing automated controls. You’ve worked with approaches such as policy as code, deployment gates, access restrictions, configuration validation, or infrastructure as code. You understand how controls can be embedded into engineering workflows and how implementation evidence can be captured and evaluated.
You're digitally savvy. You work effectively with engineering and platform teams and adapt quickly to evolving AI technologies. It’s an asset if you have hands-on experience with Microsoft Azure and Databricks, large language model applications, retrieval-augmented generation, AI agents, AI evaluation frameworks, adversarial testing, or AI security tooling. Experience in financial services or another regulated environment is also an asset.
You have a degree/diploma in computer science, engineering, data science, or a related field.
Values matter to you. You bring your real self to work, and you live our values - trust, teamwork, and accountability.

What CIBC Offers

At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.
Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.
We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

*Subject to plan and program terms and conditions

What you need to know

CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com
CIBC is committed to clarity in our hiring process. All roles posted are opportunities we’re actively recruiting for, unless stated otherwise.
You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.
We may ask you to complete an attribute-based assessment and other skills test (such as simulation, coding, French proficiency).
We use artificial intelligence tools during the recruitment process. Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us.

Job Location

Toronto-81 Bay, 21st Floor

Employment Type

Regular

Weekly Hours

37.5

Skills

Artificial Intelligence Ethics, Cloud Governance, Governance Framework, Policy Compliance, Policy Development, Quality Assurance (QA) Standards, Regulatory Compliance, Risk Management and Mitigation, Standards Compliance

Apply on cibc.wd3.myworkdayjobs.com About employer

More about this job

Responsibilities

Translate AI policies, standards, and risk requirements into reusable technical controls, automated checks, deployment gates, and measurable acceptance criteria. Partner with engineering, platform, cybersecurity, risk, and AI delivery teams to integrate and validate governance controls across the AI lifecycle, including generative AI and agentic systems.

Requirements

Candidates should have hands-on experience in software engineering, machine learning engineering, MLOps, or AI platform engineering, along with strong programming skills - preferably Python - and experience with APIs, Git, automated testing, and CI/CD. They should understand the AI lifecycle and automated controls, be able to translate policy and risk requirements into testable technical designs, and hold a degree or diploma in computer science, engineering, data science, or a related field.

Skills

AI Governance
AI Safety And Guardrails
Policy As Code
Python
Software Engineering
Machine Learning Engineering
MLOps
CI/CD
Automated Testing
Cloud Governance
Risk Management
Control Assurance
Microsoft Azure
Databricks
Generative AI
AI Security

Benefits

Competitive Salary
Incentive Pay
Banking Benefits
Benefits Program
Defined Benefit Pension Plan
Employee Share Purchase Plan
Vacation
Wellbeing Support
Employee Recognition Program
Paid Personal Development Day

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
AI Governance
Enterprise AI Framework
Policy As Code
Automated Controls
Deployment Gates
Runtime Guardrails
CI/CD Pipelines
MLOps
Machine Learning Lifecycle
Python
APIs
Git
Automated Testing
Infrastructure As Code
Microsoft Azure
Databricks
Generative AI
Large Language Models
AI Agents
Retrieval-Augmented Generation
AI Evaluation Frameworks
Adversarial Testing
AI Security
Access Governance
Model Monitoring
Prompt Injection
Sensitive Data Disclosure
Risk Management
Regulatory Compliance

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Work requirements

Jobs in Canada