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Added 9 mins ago
V
Senior Design Engineer / Développeur·euse design senior
Vention
Montreal, QC
- Full-time
…record time with the only hardware and software AI-powered platform built for the factory floor. Our technology powers over 25,000 machines across 4,000 factories across 5 continents and we…
Added 9 mins ago
VT
Cloud Engineer - Cloud Security
Viva Tech Solutions
Calgary, AB
- Contract
Strong knowledge of Microsoft Azure, AWS, or Google Cloud Platform.
Added 9 mins ago
GM
Senio QA Engineer - Bingo Gaming Platform
Galactic Minds INC
Winnipeg, MB
- Contract
Title: Senio QA Engineer - Bingo Gaming Platform
Added 9 mins ago
L
Senior BI Platform Operations Engineer
Luxoft
Toronto, ON
- Full-time
We are looking for a hands-on BI Platform Operations Engineer to provide production operational support, administration, maintenance, and technical troubleshooting for our enterprise…
Added 9 mins ago
SI
Software Engineer
Syndesus, Inc.
Vancouver, BC
- $130,000 to $160,000 CAD / year
- Full-time
Our client is seeking a mid‑level software engineer who is passionate about delivering exceptional customer value and driving meaningful business outcomes. This is a newly created role…
Added 24 mins ago
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AI Engineering Specialist
BlackBerry
Toronto, ON · Waterloo, ON
- Full-time
…Specialist to sit at the intersection of the business and our AI platform. The person teams come to when they want to understand what's possible, and the person who then builds it, and…
Added 39 mins ago
GM
Senior Software Developer - CI/CD and Software Development Tools
General Motors
Markham, ON
- Full-time
We are seeking a highly skilled and experienced Senior Software Engineer to join the Continuous Integration/Continuous Deployment (CI/CD) and Embedded Software Development Tools…
Added 39 mins ago
JA
Spécialiste en technologies de l'information (TI) et technologies opérationnelles (TO)
JR Automation
Varennes, QC
- Full-time
Expérience avec ServiceNow IT Enterprise Platform, Microsoft Office 365, Windows, iOS et les outils de gestion des actifs; certification ITIL 4 et Lean Six Sigma, un atout.
Added 54 mins ago
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Senior Manager - Systems Assurance
SYSTRA
Toronto, ON
- Full-time
Professional Engineer (P.Eng.) status is preferred but is not mandatory because the role does not endorse or approve engineering design outputs.
Added 54 mins ago
S
Senior Manager - Systems Requirements
SYSTRA
Toronto, ON
- Full-time
Professional Engineer (P.Eng.) designation in Ontario preferred.
Added 54 mins ago
S
Systems Assurance Director
SYSTRA
Toronto, ON
- Full-time
Licensed Professional Engineer (P.Eng.) in good standing with Professional Engineers Ontario (PEO).
Added 54 mins ago
S
Conventional Signalling Director
SYSTRA
Toronto, ON
- Full-time
Licensed Professional Engineer (P.Eng.) in good standing with Professional Engineers Ontario (PEO).
Added 54 mins ago
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Signalling and Train Controls Director (Engineering Services)
SYSTRA
Toronto, ON
- Full-time
Active Professional Engineer (P.Eng.) status in good standing with Professional Engineers Ontario (PEO) is preferred, together with a comprehensive understanding of the Ontario Professional…
Added 1 hour ago
S
Associate Software Development Engineer in Test (SDET)
SOTI
Mississauga, ON
- Full-time
SOTI’s two decades of success has built strong partnerships with leading mobile platform providers and device manufacturers. We are deeply committed to researching and developing solutions…
Added 1 hour ago
TG
Senior Network Engineer
TMX Group
Toronto, ON
- Full-time
We are seeking a highly skilled and motivated Senior Network Engineer with 7+ years of experience to join our dynamic infrastructure team. In this full-time role, you will be an integral…
Added 1 hour ago
Senior AI Engineer, IT Solutions 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
S
Tracks Engineering Director
SYSTRA
Toronto, ON
- Full-time
Licensed Professional Engineer (P.Eng.) in good standing with Professional Engineers Ontario (PEO) preferred.
Added 1 hour ago
DF
Full-Stack Automation Engineer
DUCA Financial Services Credit Union Ltd.
Toronto, ON · North York, ON
- Full-time
DUCA is looking for a Full-Stack Automation Engineer to join our growing team!
Added 1 hour ago
Senior Software Development Engineer, Transactional Services
Amazon
Vancouver, BC
…several of the most critical components of the Amazon.com retail…
Added 1 hour ago
SF
Senior Site Reliability Engineer
Safe Fleet
Coquitlam, BC
- Full-time
Coordinate L3 engineer schedules, validate escalation paths, and administer the incident management platform.
Added 1 hour 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 2 hours ago
G
Vehicle Systems Engineering
Geotab
Waterloo, ON
- Full-time
…growth and deliver results! Geotab is seeking a Vehicle Systems Engineer to research and reverse engineer vehicle systems, develop ways to capture high-quality vehicle data, and help…
Added 2 hours ago
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Senior Vehicle Systems Engineering
Geotab
Waterloo, ON
- Full-time
…deliver results! Geotab is seeking a Senior Vehicle Systems Engineer to lead complex vehicle reverse-engineering projects and develop safe, reliable vehicle data solutions that support…
Added 2 hours ago
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Vice President, ETF Algo Engineer
BMO
Toronto, ON · FCP
- Full-time
We are seeking an ETF Algo Engineer to design and support low-latency electronic trading algorithms for our ETF Market Making team, using AI-assisted development to improve engineering…
Added 2 hours ago
L
Director, Legal Engineering
Legora
Toronto, ON
- Full-time

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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