Jobs in Canada

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Added 1 month ago
Q
Audio/Edge AI Silicon Validation and Firmware Engineer
Qualcomm
Markham, ON
- Full-time
Min 2+ years embedded firmware development with C, firmware, silicon validation, or related work experience.
Added 1 month ago
A(
Machine Learning Scientist
Amii (Alberta Machine Intelligence Institute)
Edmonton, AB
- Full-time
Research & Development: Support the advancement of ML research and development in both industry and academia.
Added 1 month ago
I
Sr. Machine Learning Engineer
Insight
Remote, Canada
- Full-time
- Remote
…on you to span data exploration, feature engineering, model development across multiple business segments, integration into agent response loops, and operating the full MLOps lifecycle on…
Added 1 month ago
CC
Product Owner, AI Factory
Cogeco Connexion
Montreal, QC
- Full-time
Deliver self-serve platform capabilities (such as the Service Catalog) to accelerate onboarding across internal squads and foster democratization of AI development.
Added 1 month ago
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Data Specialist
Gastops
Longueuil, QC
- Full-time
Experience in software development process (git/GitHub, unit testing, documentation, etc.)
Added 1 month ago
Data Specialist - Oil Analysis
Gastops Limited
Longueuil, QC
Experience in software development process (git/GitHub, unit testing, documentation, etc.)
Added 1 month ago
O
Staff Machine Learning Engineer, SecureAI
Okta
Toronto, ON
- $168,000 to $231,000 CAD / year
- Full-time
8+ years of software development experience, with strong programming expertise in Python (and familiarity with Go or Typescript a plus).
Added 1 month ago
Staff Machine Learning Engineer, SecureAI
Okta
Toronto, ON
8+ years of software development experience, with strong programming expertise in Python (and familiarity with Go or Typescript a plus).
Added 1 month ago
CC
Product Owner, AI Factory
Cogeco Connexion
Burlington, ON
- Full-time
Deliver self-serve platform capabilities (such as the Service Catalog) to accelerate onboarding across internal squads and foster democratization of AI development.
Added 1 month ago
C
Product Owner, AI Factory
Cogeco
Burlington, ON · Montreal, QC
- Full-time
Deliver self-serve platform capabilities (such as the Service Catalog) to accelerate onboarding across internal squads and foster democratization of AI development.
Added 1 month ago
MI
Sr. Engineer - AI Solutions
Magna International
Aurora, ON · Toronto, ON
- $102,500 to $124,700 CAD / year
- Full-time
…readiness, enabling successful transition to internal customers. The developer will collaborate with internal customers, engineering teams, universities, and strategic partners throughout…
Added 1 month ago
GD
Quality Engineering Specialist
General Dynamics Missions System International
Ottawa, ON
- $77,000 to $98,000 CAD / year
- Full-time
…AS9100 and or ISO9001. This position supports both engineering development and product lifecycle activities, with a strong emphasis on software, quality compliance, and audit…
Added 1 month ago
AI Security Engineer
Celestica International LP
Toronto, ON
Must have strong knowledge of identity and Access Management, API Connectivity, Model Context Protocol (MCP), Data Security and API security
Added 1 month ago
TH
QA Automation Engineer (Askuity division)
The Home Depot Canada
Toronto, ON
- Full-time
…high quality SaaS based products. As a member of the Product Development team at Askuity, you will help design and execute test strategies to ensure delivery of high-quality software that…
Added 1 month ago
VI
Machine Learning Associate
Vector Institute
Toronto, ON
- Up to $32 CAD / hour
- Contract
You have experience with software development practices, tools, or workflows.
Added 2 months ago
AI and Data - Manager - AI/ML Engineer
EY
AB · Calgary, AB
To qualify for the role you must have
Added 1 month ago
ID
Data Scientist & Machine Learning Engineer
Identity Digital Inc.
Toronto, ON
- $87,000 to $114,000 CAD / year
- Full-time
Collect, clean, transform, and validate data for analysis and model development
Added 6 months ago
Senior Product Manager, Servicing
Nesto Cloud
Canada
…experts. You'll work with a modern tech stack and AI-driven development frameworks designed to help you innovate, grow your skills, and accelerate your…
Added 1 month ago
TC
Data AI Engineer
Tata Consultancy Services
Mississauga, ON
- $100,000 to $130,000 CAD / year
- Full-time
· Software Engineering: Build high-performance, scalable APIs using Python (FastAPI) to expose capabilities required
Added 3 months ago
Business Intelligence Analyst
CAA Club Group
Winnipeg, MB
In collaboration with BI Developer, support development of data solutions, including data models, data lifecycle management, data access and reporting elements.
Added 1 month ago
SI
Senior Engineering Manager, Backend (Content Foundations)
Scribd, Inc.
Vancouver, BC · Ottawa, ON · Toronto, ON
- Full-time
8+ years in software engineering, including 3+ years leading backend, data-infrastructure, or platform engineering teams.
Added 1 month ago
AA
Machine Learning Applied Scientist (Co-op)
Apera AI
Vancouver, BC
- $3,600 to $4,500 CAD / month
- Full-time
Apera AI helps manufacturers make their factories more flexible and productive. Robots enhanced with Apera's software have 4D Vision - the ability to see and grasp objects with human-like…
Added 1 month ago
EA
Développeur.se de logiciels sénior.e - outils de moteur génératif / Senior Software Engineer - Generative Engine Tools
Electronic Arts (EA)
Montreal, QC
- Full-time
As a Senior Software Engineer, you will collaborate with Research Scientists and Engineers to shape how new technologies integrate into core engine architecture. You will translate ideas…
Added 1 month ago
PH
Analytics Engineer, Risk
Propel Holdings
Toronto, ON
- Full-time
…automation. As the Analytics Engineer, Risk, you’ll join the Model Development team within Risk, working closely with the Manager, Model Development, Data Scientists, and Model Developers.…
Added 1 month ago
AA
Machine Learning Applied Scientist (Co-op)
Apera AI Inc
Vancouver, BC
- $3,600 to $4,500 CAD / month
Apera AI helps manufacturers make their factories more flexible and productive. Robots enhanced with Apera's software have 4D Vision - the ability to see and grasp objects with human-like…

Celestica International LP

AI Security Engineer

Toronto, ON, Canada

Salary range $132,687 – $182,687 CAD

Apply on careers.celestica.com About employer

Applications open in a new tab.

Job details

Pay: Salary range $132,687 – $182,687 CAD
Experience: 10+ years previous experience in a similar role/industry.
Posting language: English
Posted: Sep 15, 2026

Original job description

Req ID: 135257 Remote Position: Hybrid Region: Americas Country: Canada State/Province: Ontario City: Toronto

Summary

This role primarily focuses on the design, review of AI Security architecture and as well as the deployment and management of AI Solutions at Celestica. It includes (but not limited to) the secure deployment of AI products/services, administration and governance of Ai Models (Anthropic, OpenAI, Google Gemini, etc.), deployment and management of Ai Agents and Infrastructure supporting Ai use cases. This role will also provide governance and oversight into the consumption of Ai, providing input into aspects such as the creation of usage policies, forecasting and optimizing token consumption, model selection while maintaining stringent security controls.

This role reports into the Corporate IT Security leadership and will work within the IT function and the business to ensure that we meet and exceed the security requirements from Celestica customers. This role will also have to coordinate with external vendors and internal IT teams to ensure that the cybersecurity requirements are met and exceeded.

Detailed Description

Performs tasks such as, but not limited to, the following:

Architects, designs, and secures Ai Solutions in multi-cloud environments, specifically focusing on Google Cloud Platform (GCP), Microsoft Azure, and AWS to enable secure deployment of enterprise AI solutions.
Setup, maintenance and ongoing governance of various subscriptions to Ai Vendors such as Anthropic and OpenAI, (including AI Fin Ops)
Architects, builds, and enforces security guardrails for AI Agents, establishing robust governance frameworks to monitor and control agentic behaviors.
Participates in the security review of new applications with Ai Features.
Leads the product selection or review for new cloud and AI security technologies, conducting Proof of Concepts (POCs) and technical evaluations
Establishes and maintains effective relationships with process owners/sites to proactively assess business risks and develop risk mitigation.
Design and Participation in the continued management and maintenance of AI security policies, Standards, guardrails and roadmaps.
consumption of internal teams, namely Vertex Ai and Azure AI Foundry.
Design AI Guardrails and rules to Secure AI Agents and data.
Establishes and maintains effective relationships with process owners to proactively assess AI-related business risks, threats, and mitigation strategies.
Designs and implements security controls for SaaS and PaaS AI integrations to ensure continuous data protection, DLP, and regulatory compliance.
Communicates governance and compliance objectives, fostering a compliant and risk-aware security culture across internal engineering and product teams.

Knowledge/Skills/Competencies

Operational knowledge and experience deploying and running solutions in cloud (Microsoft Azure, Google Cloud Platform and AWS). Includes knowledge of Cloud and Ai Fin Ops
Network
Demonstrated development experience including Coding or Scripting experience (ie. Python, Powershell, Java, .NET)
Knowledge and proficiency Managing and Supporting solutions on Windows and Linux.
Experience supporting IT Infrastructure such as Virtual Machines, Networking, DNS
Knowledge and Experience in the deployment and management of Docker and Kubernetes images (including their hosting infrastructure)
Knowledge and Experience in ML Pipeline Architecture. Concepts of Data Ingestion, Authentication and Data security, Model Registries, Serving and Hosting infrastructure including knowledge of how Models are trained
Strong expertise in administering, configuring, and monitoring enterprise AI models including Claude, ChatGpt, and Google Gemini. Experience building governance frameworks for AI Agents, managing agentic permissions, tool execution, and runtime security controls.
Must have strong knowledge of identity and Access Management, API Connectivity, Model Context Protocol (MCP), Data Security and API security
Familiarity with Security Concepts such as:
- - Adversarial examples and evasion attacks
  - Data poisoning and training-time attacks
  - Model extraction/stealing and inversion attacks
  - Membership inference attacks
  - Prompt injection (direct and indirect) and jailbreaking
  - Supply chain risks in pre-trained models, datasets, and third-party fine-tunes
  - Backdoors/trojans embedded in models
Familiarity with Data Concepts such as (But Not limited to):
- Data lineage and provenance tracking
- Access controls over training data and embeddings
- Deep understanding of AI vulnerabilities and experience in securing LLM’s within the Cloud environments.
Knowledge and experience in IT Security Best Practices, IT Governance and Audit Procedures. Knowledge of common information security frameworks and IT controls frameworks, such as ISO/IEC 27001, ITIL, COBIT/COSO and ones from NIST.
Excellent written and verbal communication skills, interpersonal and collaborative skills, and the ability to communicate security and risk-related concepts to technical and nontechnical audiences.
Strong presentation skills for communicating architectural designs to executive leadership.
Leadership skills, ability to motivate people.

Physical Demands

Duties of this position are performed in a normal office environment.
Duties may require extended periods of sitting and sustained visual concentration on a computer monitor or on numbers and other detailed data. Repetitive manual movements (e.g., data entry, using a computer mouse, using a calculator, etc.) are frequently required.
Occasional overnight travel is required.

Salary

The stated range includes Base Salary and target Short-Term Incentive (STI) compensation only. A comprehensive benefits package is offered in addition to this range.
The range described in this posting is an estimate by the Company, and may change based on several factors, including but not limited to a change in the duties covered by the job posting, or the credentials, experience or geographic jurisdiction of the successful candidate.
Salary range $132,687 – $182,687 CAD

Typical Experience

10+ years previous experience in a similar role/industry.
Extensive hands-on experience designing and securing Google Cloud, Azure, and Google Workspace environments.

Typical Education

Bachelors Degree.
CISSP, CCSP (Certified Cloud Security Professional), or relevant cloud vendor certifications are a plus.

Notes

This job description is not intended to be an exhaustive list of all duties and responsibilities of the position. Employees are held accountable for all duties of the job. Job duties and the % of time identified for any function are subject to change at any time.

Celestica is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws. At Celestica we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. Special arrangements can be made for candidates who need it throughout the hiring process. Please indicate your needs and we will work with you to meet them.

COMPANY OVERVIEW:
Celestica (NYSE, TSX: CLS) enables the world’s best brands. Through our recognized customer-centric approach, we partner with leading companies in Aerospace and Defense, Communications, Enterprise, HealthTech, Industrial, Capital Equipment and Energy to deliver solutions for their most complex challenges. As a leader in design, manufacturing, hardware platform and supply chain solutions, Celestica brings global expertise and insight at every stage of product development – from drawing board to full-scale production and after-market services for products from advanced medical devices, to highly engineered aviation systems, to next-generation hardware platform solutions for the Cloud. Headquartered in Toronto, with talented teams spanning 40+ locations in 13 countries across the Americas, Europe and Asia, we imagine, develop and deliver a better future with our customers.

We use artificial intelligence tools to assist in screening and assessing applications for this role. All hiring decisions involve human review.

This posting is for an existing vacancy.

Celestica would like to thank all applicants, however, only qualified applicants will be contacted. Celestica does not accept unsolicited resumes from recruitment agencies or fee based recruitment services.

Apply on careers.celestica.com About employer

More about this job

Responsibilities

This role focuses on designing and reviewing AI security architecture while managing the deployment of AI solutions and agents. It involves establishing governance frameworks, enforcing security guardrails, and ensuring compliance with corporate IT security standards.

Requirements

Candidates must have over 10 years of experience in cloud and AI security, with proficiency in multi-cloud environments and programming languages like Python or PowerShell. A bachelor's degree is required, and expertise in securing LLMs and AI infrastructure is essential.

Skills

AI Security Architecture
Cloud Security
GCP
Microsoft Azure
AWS
Python
PowerShell
Docker
Kubernetes
ML Pipeline Architecture
Identity and Access Management
API Security
Data Security
Governance Frameworks
Risk Mitigation
LLM Security

Visa sponsorship

Not detected in the job text

Keywords

AI Security
Cloud Security
GCP
Azure
AWS
Python
PowerShell
Docker
Kubernetes
ML Pipeline
LLM
Identity and Access Management
API Security
Data Security
ISO/IEC 27001
ITIL
NIST
Governance
Risk Management
AI Agents
Vertex AI
Azure AI Foundry
Claude
ChatGPT
Google Gemini
FinOps
Cybersecurity
SaaS
PaaS
DLP

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Jobs in Canada