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Added 8 mins ago
BF
4th Class Engineer
BC Ferries
Swartz Bay, BC
- Full-time
Reporting To The Senior Chief Engineer, You Will
Added 9 mins ago
KG
Senior Mechanical Engineer
KGS Group
Winnipeg, MB
- Full-time
We are looking for a Senior Mechanical Engineer to join our Mechanical-Industrial Department in our Winnipeg office. In this opportunity, you will have the ability to complete and manage a…
Added 9 mins ago
ES
Expert(e) Réseaux & Sécurité Senior - Senior Network & Security Expert - Montréal
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Montreal, QC
- Full-time
Equans is looking for a Senior Network & Security Expert at Montreal!
Added 9 mins ago
Z
Senior Penetration Tester AND Red Team
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Toronto, ON
- Contract
We are seeking a Senior Penetration Tester / Red Team Engineer to support offensive security initiatives through advanced penetration testing, red team operations, and custom security tool…
Added 9 mins ago
UC
AI Developer
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Toronto, ON · Greater Toronto and Hamilton Area, ON
- Other
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Added 9 mins ago
AD
Reliability Specialist, Cranes Maintenance
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(Senior Coordinator / Specialist / Senior Specialist)
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Verification Engineer (Engineer–Senior Level)
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Toronto, ON
- Full-time
…create a smarter, connected future for all. As a Qualcomm ASIC Engineer, you will define, model, design (digital and/or analog), optimize, verify, validate, implement, and document IP…
Added 10 mins ago
M
Senior CyberArk Security Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
We are looking for an experienced Senior CyberArk Security Engineer to join our global Privileged Access Management (PAM) Engineering team and help strengthen the security, automation,…
Added 23 mins ago
WI
Junior EIT geotechnical engineering
WSP in Canada
Victoria, BC
- Full-time
…Island and throughout British Columbia. As a Junior Geotechnical Engineer-in-Training (EIT), you'll collaborate with experienced geotechnical professionals on a diverse range of projects…
Added 24 mins ago
MK
ERP Integration & Transformation Lead
Moose Knuckles Canada
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
Reverse-engineer and document systems and data where documentation is thin and the original implementer is no longer involved.
Added 24 mins ago
SF
Senior AI Engineer
Safe Fleet
Coquitlam, BC
- Full-time
We are looking for a hands-on Senior AI Engineer to build the platform that makes that possible - the shared services, agent framework, standards and tooling that allow every engineer on…
Added 24 mins ago
LM
Senior Software Engineer - Product Lead - ISS Team
Lockheed Martin
Ottawa, ON
- $102,750 to $134,750 USD / year
- Full-time
he Senior Software Engineer is a technical leader and subject matter expert who combines hands-on software development with team leadership and mentorship. In this role, the successful…
Added 24 mins ago
G
Geotechnical Engineer or Engineer-in-Training
Glencore
Elkford, BC
- $91,300 to $126,800 CAD / year
- Full-time
Reporting to the Geotechnical Senior Engineering Supervisor, the Geotechnical Engineer or Engineer-in-Training (EIT) is responsible for pit and spoil slope stability.
Added 24 mins ago
SC
Systems Assurance Director
SYSTRA Canada
Toronto, ON
- Full-time
Licensed Professional Engineer (P.Eng.) in good standing with Professional Engineers Ontario (PEO).
Added 24 mins ago
AL
Senior Plant Engineer
Air Liquide
Hamilton, ON
- Full-time
Air Liquide is Hiring a Senior Plant Engineer
Added 24 mins ago
SC
Senior Manager – Systems Assurance
SYSTRA Canada
Toronto, ON
- Full-time
Provide senior engineering management and independent technical governance for railway systems assurance across the GO & UP transit networks and associated corridors. Develop, own and…
Added 24 mins ago
AS
IAM ENGINEER
Ardent SoftSol Inc.
Montreal, QC
- $65 to $70 CAD / hour
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Job Title: Senior ForgeRock IAM Engineer / Developer
Added 24 mins ago
XS
Security Analyst / Engineer / Architect
XChange Software Inc
Mississauga, ON
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Position 5. Security Operations Analyst / Engineer
Added 24 mins ago
C
Senior DevOps / DevSecOps Engineer
Capco
Toronto, ON
- Full-time
At Capco, we are looking for a Senior DevOps / DevSecOps Engineer to join our Technology & Engineering practice in Toronto. This is an opportunity to deliver secure, scalable automation…
Added 24 mins ago
SC
Signalling and Train Controls Director (Engineering Services)
SYSTRA Canada
Toronto, ON
- Full-time
Act as the senior technical authority for signalling and train control design integrity, translating network and fleet operational requirements from Systems Engineering into actionable…
Added 24 mins ago
E
Early Career RF Specialist (RAN Optimization)
Ericsson
Toronto, ON
- Full-time
Ability to interpret site alarms and learn to determine corrective actions, with guidance from senior team members.
Added 24 mins ago
B
Software Engineer II
Beanfield
Toronto, ON
- $80,000 to $110,000 CAD / year
- Full-time
We are seeking a senior Software Engineer to join our technology team. This role focuses on designing, developing, and enhancing backend systems, APIs, and data processing tools using…
Added 24 mins ago
MP
Senior Data Engineer
Michael Page
Winnipeg, MB
- $85,000 to $90,000 CAD / year
- Full-time
This Data Engineer role focuses on designing, building, and supporting scalable data pipelines and cloud-based data solutions while ensuring data quality, security, and operational…
Added 24 mins ago
MI
FHIR Integration Engineer/Full Stack Engineer (Healthcare) 7+ years of experience
Maarut Inc
Toronto, ON
- Contract
Senior-level experience developing Java and Node.js services, REST APIs, FHIR integrations, event publishers and consumers, and production application logic.
Added 24 mins ago
T
Java Software Engineer
Tekshapers
Toronto, ON
- Full-time
Embed security-by-design throughout the development life cycle, following secure coding standards and addressing vulnerabilities early.

Celestica International LP

Senior AI Engineer, IT Solutions 1 1

Toronto, ON, Canada

Salary Range: $98,241 - 164,554 CAD

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Job details

Pay: Salary Range: $98,241 - 164,554 CAD
Posting language: English
Posted: Oct 29, 2026

Original job description

Req ID: 141816 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: $98,241 - 164,554 CAD

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 designing AI architectures, managing data pipelines for RAG, 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
RAG
LLMs
Data Engineering
MLOps
LangChain
LlamaIndex
Vector Databases
Prompt Engineering
Cloud AI Services
Data Modeling
CI/CD
Agile

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
Generative AI
RAG
LLMs
Python
Data Engineering
MLOps
LangChain
LlamaIndex
Semantic Kernel
Vector Databases
Pinecone
Weaviate
Milvus
Azure AI Studio
AWS Bedrock
Google Vertex AI
CI/CD
Data Governance
Prompt Engineering
Agile
Scrum
Manufacturing
Data Analytics
Software Engineering
Cloud Computing
Kubernetes
Docker
MLflow

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