Find work in Canada.

582,700 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 27 mins ago
AA
Professionnel en Systèmes Électriques - Gestion des requis et V&V / Electrical Systems Professional - Requirement management and V&V
Airbus Aircraft
Montreal, QC
- Full-time
Gestion des fournisseurs, intégration technique et collaboration inter fonctionnelle.
Added 57 mins ago
WI
Computing Science Lecturer
Women In Machine Learning And Data Science, Mumbai
Burnaby, BC
- Full-time
Added 1 hour ago
SH
Regional Clinical Engineer - Masters
Shared Health-Soins Communs
Winnipeg, MB
- Full-time
Shared Health leads the planning and coordinates the integration of patient-centered clinical and preventive health services across Manitoba. The organization also delivers some…
Added 1 hour ago
L
AI/ML Engineer
lululemon
Vancouver, BC
- Full-time
As an AI/ML Engineer, you will contribute to the design and implementation of AI/ML systems across the full model lifecycle from dataset curation, feature engineering, and model training…
Added 1 hour ago
Manager, Engineering
Toronto Hydro
Toronto, ON
Advance Toronto Hydro's asset management capabilities and support long-term strategic planning initiatives through the integration of planning, operational, and asset performance…
Added 1 hour ago
Regional Clinical Engineer - Masters
Winnipeg Regional Health Authority
Winnipeg, MB
Shared Health leads the planning and coordinates the integration of patient-centered clinical and preventive health services across Manitoba. The organization also delivers some…
Added 1 hour ago
C
Analyste d’affaires – D365 Business Central (Secteur Manufacturier)
CGI
Montreal, QC
- Full-time
Significant experience in manufacturing environments, including Make-to-Order (MTO), Make-to-Stock (MTS), or Engineer-to-Order (ETO) operations
Added 2 hours ago
SA
Electrical Engineer
Smarter Alloys
Cambridge, ON
- Full-time
As our new Electrical Engineer, you will design, build, and test electrical and electromechanical systems for our Extract Energy heat-to-power technology and other innovative products…
Added 2 hours ago
VF
Senior Project Delivery Specialist - RBT2 (4 Year Term)
Vancouver Fraser Port Authority
Vancouver, BC
- Contract
Flexible programs that support employee wellbeing and work-life integration
Added 3 hours ago
AC
D365 F&O Functional Analyst
Aston Carter
Richmond, BC
- Contract
Collaborate with technical teams to ensure effective integration between D365 F&O and reporting or analytics tools.
Added 3 hours ago
AH
Device Design Engineer
Avalon Holographics
AB · Edmonton, AB
- Full-time
As we advance our display technology, we’re seeking a Device Design Engineer to help design and optimize the thin-film transistor (TFT) pixel and panel architectures at the core of our…
Added 4 hours ago
C
Infrastructure Engineer
Calance
Montreal, QC
- Contract
The team is responsible for all aspects of the design, configuration and integration of Windows Desktop, Laptop, VDI, HDI and Cloud PC, including hardware, driver and firmware management.
Added 5 hours ago
C
Cloud Expert
Computronix
AB · Edmonton, AB
- Full-time
This is a hands-on role for someone who already has solid infrastructure fundamentals and wants to keep growing as a cloud engineer.
Added 5 hours ago
HI
Senior Data Engineer/ETL Developer
HRbrain Inc.
Toronto, ON
- Full-time
1st Senior Data Engineer, 10+ years Experience
Added 5 hours ago
HI
Sr. Data Engineer
HRbrain Inc.
Toronto, ON
- Full-time
We are looking for a Senior Data Engineer to joint their Data & Analytics team within Data & Technology team, reporting directly to the Director of Data & Analytics.
Added 5 hours ago
TT
Software Architect
trane technologies
Montreal, QC
- Full-time
…driving analytics for greater efficiency, your ideas will help engineer solutions for stronger communities and a sustainable…
Added 5 hours ago
A
Software Engineer (React & TypeScript)
Applicantz
Toronto, ON
- $50 to $55 CAD / hour
- Contract
…(PDMS) division. We are looking for an experienced Software Engineer to join one of our teams to help us fulfill the mission of the organization, supporting cross-platform device…
Added 6 hours ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Vancouver, BC
- Full-time
We are seeking a hands-on Salesforce Platform and AI Engineer to design, build, and scale secure, data-driven solutions that advance CCS’s mission. This role combines Salesforce…
Added 6 hours ago
TU
Assistant Professor (tenure-track)
The University of British Columbia
Vancouver, BC
- Full-time
…technology-enabled approaches to underground mining, including the integration of digital systems, automation, and data-driven decision-making. The anticipated start date is July 1, 2027 or…
Added 6 hours ago
A
Senior Software Engineer
AspiringIT
Kitchener, ON
- Full-time
Aspiring IT Inc. is seeking an experienced Senior Software Engineer to design, develop, integrate, and maintain scalable software applications and cloud-based systems.
Added 6 hours ago
GV
Candidat à la profession d'ingénieur électrique systèmes auxiliaires – Hydro Amérique du Nord / Auxiliary Systems EIT Electrical Engineer – Hydro North America
GE Vernova
Brossard, QC
- Full-time
The Systems Engineer will be responsible for the integrated design, coordination, and technical support of both electrical and mechanical auxiliary systems associated with hydro-generator…
Added 6 hours ago
V
Staff Information Security Engineer - Threat Detection & Response
Visier
Remote, Canada
- Full-time
- Remote
Cross-Functional Security Integration: Partner closely with software developers, SREs, and offensive security functions to convert emerging vulnerabilities and organization-specific risks…
Added 6 hours ago
E
Ingénieur de projet – Développement de produits pour véhicules connectés (Gestion technique de projets) / Project Engineer – Connected Vehicle Product Development (Technical Project Management)
Expleo
Valcourt, QC
- Contract
We are seeking a Project Engineer to coordinate the development of connected vehicle systems and electronic modules. In this role, you will work with cross-functional teams to manage…
Added 6 hours ago
PH
Founding Engineer
Prometheus Health Systems
Remote, Canada
- $150,000 to $190,000 CAD / year
- Full-time
- Remote
As our first engineer, you'll work directly with the founder, a practising physician who built the platform, and with our clinical collaborators. You'll take ownership of a working system…
Added 6 hours ago
AC
Engineer, Project
AVI-SPL Canada
Montreal, QC
- Full-time
As a Project Engineer, you will oversee the technical delivery of AV Integration projects. You will review new projects, finalizing documentation such as the bill of materials, drawings,…

Celestica International LP

Senior AI Engineer, IT Solutions 1 1 1

Toronto, ON, Canada

Salary Range: $117,999 - 183,915 USD

Apply About employer

Applications open in a new tab.

Job details

Pay: Salary Range: $117,999 - 183,915 USD
Posting language: English
Posted: Nov 3, 2026

Original job description

Req ID: 141818 Remote Position: Hybrid Region: Americas Country: Canada State/Province: Ontario City: Toronto

Summary

We are seeking a highly motivated and technically proficient AI Engineer to join our growing Data & Analytics team. In this role, you will be a key liaison between business stakeholders and the technical AI team, translating complex business challenges into scalable artificial intelligence and machine learning solutions. You will be responsible for defining technical requirements, designing AI architectures (including Generative AI and RAG patterns), and collaborating with the Data Center of Excellence to deliver high-quality, production-ready AI tools that drive innovation and operational efficiency across the organization.

Detailed Description

AI Solution Scoping & Requirements:

Elicit and document technical requirements for AI and Machine Learning projects through workshops and deep dives with stakeholders across various departments.
Define the technical feasibility of proposed AI use cases, identifying appropriate model architectures (LLMs, SLMs, or traditional ML) and success metrics (Accuracy, F1-score, Perplexity, etc.).
Analyze existing business processes to identify automation opportunities and areas where Generative AI can provide a competitive advantage.

Data Engineering & AI Pipeline Design:

Work with stakeholders to identify and prepare high-quality datasets for model training, fine-tuning, and grounding.
Design and implement data ingestion pipelines for vector databases, ensuring data integrity and optimal embedding strategies for Retrieval-Augmented Generation (RAG).
Collaborate with data engineers to ensure scalable, secure, and compliant data flows between enterprise systems and AI models.

Model Development & Orchestration:

Develop, test, and refine AI prompts and orchestration workflows using frameworks like LangChain, LlamaIndex, or Semantic Kernel.
Evaluate and select appropriate foundation models (OpenAI, Anthropic, Llama, etc.) based on performance, cost, and latency requirements.
Translate business logic into technical specifications for API integrations, model endpoints, and user interfaces.

MLOps, Deployment & Monitoring:

Implement MLOps best practices to ensure the continuous integration and deployment (CI/CD) of AI models.
Establish monitoring frameworks to track model performance, "drift," and hallucination rates in production environments.
Ensure AI solutions adhere to corporate data governance, security, and ethical AI principles.

Knowledge/Skills/Competencies

Essential Skills:
- 11+ years of experience in Information Technology, Software Engineering, or Data Science, with a significant focus on AI/ML development.
- Strong understanding of Generative AI landscapes, including LLMs, prompt engineering, and vector databases (e.g., Pinecone, Weaviate, Milvus).
- Proven ability to architect end-to-end AI solutions from discovery to production deployment.
- Excellent communication skills, with the ability to explain complex technical AI concepts to non-technical business leaders.
- Advanced proficiency in Python and relevant libraries (NumPy, Pandas, PyTorch, or TensorFlow).
- Experience with Cloud AI Services (Azure AI Studio, AWS Bedrock, or Google Vertex AI [Preferred]).
Desirable Skills:
- Knowledge of SQL and advanced data modeling for structured and unstructured data.
- Familiarity with MLOps tools (MLflow, Kubeflow) and containerization (Docker, Kubernetes).
- Experience working in an Agile/Scrum development environment.
- Knowledge of AI security frameworks and responsible AI practices (e.g., OWASP for LLMs, MCP).
- Industry experience in manufacturing or a related industrial sector.

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.

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: $117,999 - 183,915 USD

Typical Experience

11+ years of progressive experience in technical roles, with at least 3-5 years specifically focused on AI/ML engineering or architecture.
Proven track record of delivering production-grade AI applications.
AI-related certifications (e.g., Azure AI Engineer Associate, AWS Machine Learning Specialty) are highly preferred.

Typical Education

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, or a related field; or a robust combination of work experience and specialized AI certification.

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 About employer

More about this job

Responsibilities

The Senior AI Engineer will act as a liaison between business stakeholders and the technical team to translate business challenges into scalable AI and machine learning solutions. Responsibilities include defining technical requirements, designing AI architectures, and implementing MLOps practices for production-ready tools.

Requirements

Candidates must have 11+ years of experience in IT, Software Engineering, or Data Science with a strong focus on AI/ML development. Proficiency in Python, Generative AI frameworks, and cloud AI services is required, along with the ability to architect end-to-end AI solutions.

Skills

Artificial Intelligence
Machine Learning
Generative AI
Python
LLMs
RAG
Prompt Engineering
Vector Databases
MLOps
Data Engineering
PyTorch
TensorFlow
LangChain
LlamaIndex
Cloud AI Services
Data Modeling

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
Generative AI
RAG
LLMs
Python
NumPy
Pandas
PyTorch
TensorFlow
LangChain
LlamaIndex
Semantic Kernel
Azure AI Studio
AWS Bedrock
Google Vertex AI
MLOps
CI/CD
Vector Databases
Pinecone
Weaviate
Milvus
Data Engineering
Agile
Scrum
Kubernetes
Docker
MLflow
Kubeflow
Data Governance

Report this job