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Added 10 mins ago
A
Software Engineer - Factory Apps - Intern
Altera
Toronto, ON
- Full-time
Experience with Python or scripting for automation, testing, or data analysis.
Added 40 mins ago
AF
Graduate Student, Forward Deployed Engineer
Ascendance Foundry
Toronto, ON
- Full-time
Comfortable with some programming (Python or similar): You don't need to be a professional software engineer, but you can wrangle data and ship something that runs.
Added 55 mins ago
S
Data & AI Engineer - Real World Data and Healthcare Intelligence
Sanofi
Toronto, ON
- Full-time
…Grafana), CI/CD Pipelines (JFrog Artifactory), Scripting and automation (Python, GitHub, Github…
Added 1 hour ago
Director, Network & Security AI and Automation
The Canada Life Assurance Company
Winnipeg, MB · London, ON · Toronto, ON
We are seeking a Director, Network & Security AI and Automation to establish and lead an engineering function within Network & Security Services with two complementary mandates: applying…
Added 1 hour ago
TT
Software Development Engineer
Teledyne Technologies Incorporated
Edmonton, AB · Canada - Edmonton, AB
- Full-time
…reliability. These markets include aerospace and defense, factory automation, air and water quality environmental monitoring, electronics design and development, oceanographic research,…
Added 2 hours ago
M
Cloud Software Engineer
McAfee
Toronto, ON · UNAVAILABLE, Ontario
- Full-time
As a Cloud Software Engineer, you will contribute to the full stack solutions for several consumer products using diverse technologies and best software development practices. You will work…
Added 2 hours ago
Production Support Engineer
Capgemini
Toronto, ON
Capgemini is looking for a Production support Engineer to work for the Commercial Line of Business. An ideal candidate should be the one that has experience as outlined below :-
Added 2 hours ago
GD
System Integration & Test, Intermediate
General Dynamics Missions System International
Calgary, AB
- Full-time
General Dynamics Mission Systems-Canada is looking for a System Integration & Verification Engineer (SI&V) to join the Bowman product development team in Calgary, to support ongoing future…
Added 2 hours ago
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Senior Solutions Engineer
ChapsVision
Montreal, QC
- Full-time
En tant qu’Ingénieur(e) principal(e) en solutions (Senior Solutions Engineer), vous agirez à titre de leader technique principal dans le cadre de nos mandats clients les plus stratégiques…
Added 3 hours ago
M
Software Engineer -Data Processing Backend
Morningstar
Toronto, ON
- Full-time
At Morningstar, helping investors is what brings us together and drives our work. We are looking for a Software Engineer who’s an expert with C# .NET and SQL to join our team and grow with…
Added 3 hours ago
Senior FPGA Research Engineer
Barco
Vancouver, BC
…industrial applications. We are looking for a hands-on senior FPGA engineer to lead the sensor acquisition and aggregation architecture connecting distributed imaging sensors to an…
Added 3 hours ago
Oracle EPM Engineer
Capgemini
Montreal, QC
We are seeking a Senior Oracle EPM engineer with strong PLSQL and Shell Scripting skills. You will manage optimize and scale our Hyperion financial planning and consolidation…
Added 3 hours ago
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Sales Engineer, Channel Sales
SOTI
Mississauga, ON
- Full-time
Added 3 hours ago
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Senior Application Engineer - Robotics / Ingénieur(e) d’applications principal(e) – Robotique
Vention
Montreal, QC
- Full-time
You will design the high-level concept of industrial automation equipment and evaluate the cost of the solution
Added 3 hours ago
W
Principal Telecommunications Engineer
Worley
Calgary, AB
- Full-time
The purpose of the Principal Telecommunication Engineer role shall be to serve as a technical authority designing and delivering industrial telecommunication projects across Oil & Gas,…
Added 3 hours ago
W
Principal Telecommunications Engineer
Worley
Sudbury, ON · Greater Sudbury, ON
- Full-time
The purpose of the Principal Telecommunication Engineer role shall be to serve as a technical authority designing and delivering industrial telecommunication projects across Oil & Gas,…
Added 3 hours ago
W
Principal Telecommunications Engineer
Worley
Markham, ON
- Full-time
The purpose of the Principal Telecommunication Engineer role shall be to serve as a technical authority designing and delivering industrial telecommunication projects across Oil & Gas,…
Added 3 hours ago
W
Principal Telecommunications Engineer
Worley
Oakville, ON
- Full-time
The purpose of the Principal Telecommunication Engineer role shall be to serve as a technical authority designing and delivering industrial telecommunication projects across Oil & Gas,…
Added 3 hours ago
W
Principal Telecommunications Engineer
Worley
AB · Edmonton, AB
- Full-time
The purpose of the Principal Telecommunication Engineer role shall be to serve as a technical authority designing and delivering industrial telecommunication projects across Oil & Gas,…
Added 4 hours ago
E
Maintenance Team Leader
Ecolab
Mississauga, ON · CAN-Mississauga Plant
- Full-time
Coordinates work assignments of Maintenance Technicians with the Capital Projects Engineer and Production Team Lead
Added 4 hours ago
Senior Forward Deployed AI Engineer
Bell
Mississauga, ON
As a Senior Forward-Deployed AI Engineer, you will own engagements end-to-end: scoping the problem, choosing the right approach across automation, classical ML, and GenAI/agents, and taking…
Added 4 hours ago
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Field Support Engineer II
''
Toronto, ON
- Full-time
The Field Support Engineer II is a senior onsite technical resource and a highly visible representative of Digital Technology. Reporting to the Manager, Regional Service Delivery, you will…
Added 4 hours ago
Senior Software Dev Engineer, Route 53 Health Checks and Console Core
Amazon
Vancouver, BC
AI is central to how we work and what we build. As a senior engineer on the team, you will own how we work with it. You will define the AI development process the team runs on across…
Added 4 hours ago
BC
Vice President, ETF Algo Engineer
BMO Capital Markets
Toronto, ON
- 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 5 hours ago
X
Senior QA Engineer Position for Xsolla's Smart Wallet in Web3
Xsolla
Canada
- Full-time
We are looking for a Senior QA Engineer who has tested real on-chain products - the contracts and the transactions, not only the web app in front of them. You will own quality for Xsolla's…

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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