Find work in Canada.

583,912 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 20 mins ago
MA
Software Engineer
Milya AI
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
Role Description The Software Engineer will be a full-time, on-site team member based in the Greater Montreal Metropolitan Area, contributing directly to the development of Milya’s…
Added 3 hours ago
RB
2027 Capital Markets, Global Equities, AI Engineer (16 Months, Co-op)
Royal Bank of Canada
Toronto, ON
- Full-time
Added 7 hours 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 8 hours ago
R
2027 Capital Markets, Global Equities, AI Engineer (16 Months, Co-op)
RBC
Toronto, ON
- Full-time
Added 11 hours ago
I
Senior DevOps Engineer
iCOUNTER
Remote, Canada
- $136,000 to $170,000 CAD / year
- Full-time
- Remote
As a DevOps Engineer, you’ll be a hands-on owner of the infrastructure and delivery systems behind our platform. That means architecting scalable, secure cloud environments, primarily on…
Added 12 hours ago
S
AI Engineer (Superhuman Mail) - Canada
Superhuman
Remote, Canada
- $128,000 to $210,000 CAD / year
- Full-time
- Remote
Added 14 hours ago
Senior AI Engineer, IT Solutions 1 1 1
Celestica International LP
Toronto, ON
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…
Added 14 hours ago
Software Engineer, Backend
Lyft
Toronto, ON
…Learning Platform (MLP) team is seeking a backend Software Engineer to help build and operate our platform, which supports real-time, online, and offline ML model execution, development,…
Added 14 hours ago
B
AI Software Engineer
Bombardier
Dorval, QC
- Full-time
Added 15 hours ago
JH
AI/ML Engineer
JAVA Holdings Ltd.
Remote, Canada
- Full-time
- Remote
The AI/ML Engineer will design, develop, integrate and deploy AI and machine learning solutions that improve business processes, operational efficiency and decision-making across the…
Added 15 hours ago
JH
AI/ML Engineer
Java Holdings Ltd
AB · Edmonton, AB
- Full-time
The AI/ML Engineer will design, develop, integrate and deploy AI and machine learning solutions that improve business processes, operational efficiency and decision-making across the…
Added 15 hours ago
WT
Senior Java Software Engineer
Wissen Technology
Montreal, QC
- Full-time
Added 17 hours ago
TC
Agentic AI Engineer
Tata Consultancy Services
Mississauga, ON
- $100,000 to $130,000 CAD / year
- Full-time
Added 17 hours ago
G&
Forward Deployed AI Engineer
Groom & Associés / Associates
Montreal, QC · Greater Montreal Metropolitan Area
- $140,000 to $180,000 CAD / year
- Full-time
As a Forward Deployed Engineer, you act as the technical lead and primary engineering contact for retail clients:
Added 18 hours ago
JC
Senior Machine Learning Engineer - (Biometrics)
Jumio Corporation
Montreal, QC
- Full-time
Machine Learning Engineer – Biometrics (Computer Vision)
Added 18 hours ago
Senior Product Engineer - Listing Quality
Faire
Kitchener, ON · Toronto, ON
As a Senior Product Engineer on the Listing Quality team, you’ll make every product on Faire look and read its best. We use computer vision and LLMs to improve hero images, crops and…
Added 19 hours ago
QW
GenAI Engineer
Quantum World Technologies Inc.
Toronto, ON
- Contract
Added 19 hours ago
R&
Staff AI Developer - Toronto
Robots & Pencils
Toronto, ON
- Full-time
…delivery of AI/ML systems. This role is ideal for an experienced engineer who thrives on architectural decisions, can confidently own systems end-to-end, and contributes to technical…
Added 19 hours ago
T
Principal Data Engineer
Tangerine
Toronto, ON
- Full-time
Added 19 hours ago
TR
Principal Engineer
Thomson Reuters
Toronto, ON
- Full-time
As Principal Engineer for Corporate Tax and Trade, you'll define and execute the technical vision for our generative AI products, ensuring we deliver powerful, user-friendly, and innovative…
Added 19 hours ago
CT
Generative AI Engineer
Celebal Technologies
Canada
- Full-time
We are seeking a motivated Generative AI Engineer with 1–3 years of experience in Machine Learning, Generative AI, and Large Language Models (LLMs). The ideal candidate should have strong…
Added 20 hours ago
M
Senior Android SDK Developer (AI-Native Engineering)
MapsPeople
Richmond Hill, ON
- Full-time
You are a collaborative engineer who sees AI as a force multiplier, not a shortcut. You enjoy working on shared platforms rather than isolated features, take pride in building clean,…
Added 20 hours ago
Z
Software Engineer, Backend (All Levels)
Zip
Toronto, ON
- Full-time
As a Software Engineer you will be responsible for building Zip’s core products and architecture. You will ship features that will be immediately used by our users, and will work with a…
Added 21 hours ago
Principal Data Engineer
Scotiabank
Toronto, ON
Added 21 hours ago
UH
Software Developer
University Health Network
Toronto, ON
- Full-time
We seek a talented Data/Software Engineer passionate about advancing drug discovery through cutting-edge technology and open science collaboration to join our team at the Structural…

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