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Added 6 mins 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 21 mins ago
P
Senior Software Engineer - Java/React
PointClickCare
Mississauga, ON
- Full-time
Strong track record building and shipping production software in modern languages
Added 21 mins ago
P
Principal Software Engineer
PointClickCare
Mississauga, ON
- Full-time
Strong track record building and shipping production software in modern languages
Added 36 mins ago
A
Senior Software Developer, Frontend
Autodesk
Toronto, ON
- Full-time
We’re looking for an experienced Senior Frontend Engineer with strong expertise across all aspects of frontend development to join the Autodesk Assistant engineering platform team. Autodesk…
Added 36 mins ago
GO
Network and Infrastructure Architect.
Government of Manitoba
Winnipeg, MB
- Full-time
…Architect works with Solution Architects, Enterprise Architects, security, infrastructure, application teams, and other stakeholders to provide network architecture guidance for projects…
Added 36 mins ago
P
Principal Software Engineer
PointClickCare
Mississauga, ON
- $142,700 to $178,400 CAD / year
- Full-time
Strong track record building and shipping production software in modern languages
Added 36 mins ago
AE
Electrical, Instrumentation and Controls Engineer (Intermediate)
Associated Engineering
Markham, ON
- Full-time
…experienced and dedicated Electrical, Instrumentation and Controls Engineer to join our team in our Markham office. In this role you will be responsible for serving as Electrical,…
Added 36 mins ago
P
Senior Software Engineer - Java/React
PointClickCare
Mississauga, ON
- $130,100 to $162,600 CAD / year
- Full-time
Strong track record building and shipping production software in modern languages
Added 36 mins ago
B
Sr. DevOps / Cloud Infrastructure Engineer
Brainpower360
Montreal, QC
- $120,000 to $140,000 CAD / year
- Full-time
Implement solutions to improve performance, resilience, security and availability of Cloud services running in AKS.
Added 37 mins ago
M
Senior Software Engineer-C#
Morningstar
Toronto, ON
- Full-time
Morningstar is seeking a Senior Software Engineer (Backend) to design, build, and maintain scalable enterprise applications and APIs. The role focuses on backend development using C#, .NET,…
Added 50 mins ago
A
Senior Principal Engineer
Autodesk
Toronto, ON
- Full-time
GET Engineering is seeking an experienced Senior Principal Engineer – AI and Engineering Excellence to lead the technical strategy and evolution of our cloud platform, developer experience,…
Added 50 mins ago
A
Senior Software Developer, Frontend
Autodesk
Toronto, ON
- Full-time
We’re looking for an experienced Senior Frontend Engineer with strong expertise across all aspects of frontend development to join the Autodesk Assistant engineering platform team. Autodesk…
Added 50 mins ago
AT
Hardware Engineer Co-op
Arlo Technologies
Richmond, BC · CA - British Columbia - Richmond
- $3,500 to $4,000 CAD / month
- Full-time
…and RF connectivity enables the delivery of a seamless, smart security experience for Arlo users that is easy to set up and interact with every…
Added 1 hour ago
MG
Superviseur(e), Maintenance / Supervisor, Maintenance
Medicom Group
Saint-Eustache, QC
- Full-time
Added 1 hour ago
CG
Software Safety Engineer – AI, LLM & SW-FMEA Automation
CS GROUP
Montreal, QC
- Full-time
We are seeking a Software Safety Engineer with expertise in Artificial Intelligence (AI), Large Language Models (LLMs), and software safety engineering to support an initiative focused on…
Added 1 hour ago
B
Principal System Engineer
Backbase
Toronto, ON
- Full-time
About the Role We are seeking a seasoned, hands-on Principal System Engineer to act as a technical vanguard and drive engineering excellence across our organization. Operating in a highly…
Added 1 hour ago
NF
NIGHT CARETAKER CLASS I- NFSB2026-027-161
New Frontiers School Board / Commission scolaire New Frontiers
Châteauguay, QC
- $26.65 CAD / hour
- Temporary
…equipment which does not require the presence of a stationary engineer. He or she carries out or ensures that the required preventive upkeep is carried out; he or…
Added 1 hour ago
GG
Junior Electrical Engineer
Giampaolo Group Inc.
Brampton, ON
- Full-time
Reporting to the Senior Director, Engineering and Maintenance, the Junior Electrical Engineer will support a variety of engineering and maintenance initiatives across Triple M Metal's…
Added 1 hour ago
CT
System Designer Co-Op
Comtech Telecommunications Corp.
Gatineau, QC
- Full-time
- Temporary
- Internship
Design software applications / solutions for on Linux and / or Windows platforms
Added 1 hour 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 1 hour ago
MG
Why this Cyber Security Engineer role is like needlecraft.
Mongoose Gray
Cambridge, ON
- Full-time
The Apollo Guidance software was stored in 'core rope memory' which was literally woven by hand, threading wires through or around tiny magnetic cores. This is a chance to build our…
Added 1 hour ago
NV
Microsoft Azure Administrator (ID#5603)
New Value Solutions
Vancouver, BC · Greater Vancouver Metropolitan Area
- Contract
…with strong application integration, cloud administration, security, and DevOps expertise. This role involves implementing hybrid cloud integrations, configuring Azure services, automating…
Added 1 hour ago
VS
Applied AI Engineer (Generative AI & Agentic Apps) - Onsite Only
Vivid Soft Global
Montreal, QC
- Contract
We’re looking for a hands-on Applied AI Engineer to help business and technology teams move Generative AI use cases from idea to working software at a major financial institution. You’ll…
Added 1 hour ago
A
Field Service Engineer
ABB
Coquitlam, BC
- Full-time
Strong background in crane electrical systems, industrial software, PLCs, HMI, variable frequency drives, switchgear, and network commissioning.
Added 1 hour ago
M
Senior Software Engineer-C#
Morningstar
Toronto, ON
- Full-time
Morningstar is seeking a Senior Software Engineer (Backend) to design, build, and maintain scalable enterprise applications and APIs. The role focuses on backend development using C#, .NET,…

Celestica International LP

Senior AI Engineer, IT Solutions 1 1 1

Toronto, ON, Canada

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

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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.

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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

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