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Added 6 mins ago
E
DevOps - Spécialiste Solution / DevOps - Solution Engineer
EXFO
Montreal, QC · Quebec, QC
- Full-time
Added 6 mins ago
S
Sales Engineer, Channel Sales
SOTI
Mississauga, ON
- Full-time
…the box thinkers that appreciate the art of creating great…
Added 6 mins ago
Sr. Consultant - Cloud Infrastructure Architect | Conseiller senior – Architecte d'infrastructure infonuagique, Public Sector | secteur public
Amazon
Vancouver, BC · Ottawa, ON · Toronto, ON · Montreal, QC
- Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies
Added 6 mins ago
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Software Development Engineer II (SDE2), Trust Experience
Remitly
Burnaby, BC
- Full-time
We are looking for a Software Development Engineer II (SDE2) to join the Trust Experience (TREX) team within the Identity & Trust organization.
Added 20 mins ago
V
Senior Application Engineer - Robotics / Ingénieur(e) d’applications principal(e) – Robotique
Vention
Montreal, QC
- Full-time
…their operations in 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…
Added 21 mins ago
H
Junior Cyber Incident Response Analyst
Hootsuite
Toronto, ON
- Full-time
1 - 2 years of experience in a security analyst, SOC analyst, incident response analyst, security engineer, or system administrator or similar role
Added 21 mins ago
E
DevOps - Spécialiste Solution / DevOps - Solution Engineer
EXFO
Montreal, QC
- Full-time
Added 21 mins ago
H
Junior Cyber Incident Response Analyst
Hootsuite
Vancouver, BC
- Full-time
1 - 2 years of experience in a security analyst, SOC analyst, incident response analyst, security engineer, or system administrator or similar role
Added 21 mins ago
H
Junior Cyber Incident Response Analyst
Hootsuite
Ottawa, ON
- Full-time
1 - 2 years of experience in a security analyst, SOC analyst, incident response analyst, security engineer, or system administrator or similar role
Added 51 mins ago
TT
Senior Mechanical Engineer
Tetra Tech
Winnipeg, MB
- Full-time
Tetra Tech Buildings Group is currently seeking an experienced mechanical engineer. The successful candidate will work as part of an engineering consulting team for the design, development…
Added 1 hour 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 1 hour ago
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DevOps Engineer
VySystems
Toronto, ON
- Contract
Integrate CI/CD pipelines with code scanning, security validation, and data governance tools.
Added 1 hour 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 1 hour 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…
Added 1 hour ago
SL
Security Platform Engineer - EDR, Proxy
Sun Life
Toronto, ON · Sun Life Toronto One York
- Full-time
The security platform engineer will be responsible for supporting and managing existing security technologies such as: CrowdStrike, Netskope, Semperis.
Added 1 hour ago
Staff Software Engineer, Identity Threat Protection
Okta
Toronto, ON
Okta is seeking a Staff Software Engineer to be a driving force on the ITP engineering team. This is your chance to dive into the deep end and solve the most critical and complex security…
Added 1 hour ago
MF
Field Support Engineer II
McCain Foods
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 2 hours ago
Senior Security Engineer, AWS Foundational Services Security
Amazon
Vancouver, BC
We're looking for a Security Engineer to join the team that secures the foundational Identity and crypto systems powering AWS.
Added 2 hours ago
JA
Technical Safety Specialist
JR Automation
Toronto, ON
- Full-time
Good understanding of systems engineering, software engineering and functional safety
Added 2 hours ago
AV
Apply to Top Talent Network
Approach Venture
Leading Tickles, NL
- Full-time
If you’re an engineer, operator, or business leader looking to make an impact, this is your chance to connect with opportunities that align with your skills and ambitions.
Added 2 hours ago
JA
Software Architect - Vital Software
JR Automation
Toronto, ON
- Full-time
The Software Architect leads the design, development, integration, and testing of complex operationally critical and safety-critical software systems within the railway signaling domain. As…
Added 2 hours ago
P
System Configuration Specialist / Spécialiste en configuration de systèmes (CS004)
Potenco
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
Configure, test, maintain, monitor, and troubleshoot workstations, servers, equipment, software, network peripherals, cabling, and networking infrastructure.
Added 2 hours ago
SG
Sr. Forward Deployed Engineer
Software Guidance & Assistance, Inc. (SGA, Inc.)
Mississauga, ON
- Full-time
Software Guidance & Assistance, Inc., (SGA), is searching for a Sr. Forward Deployed Engineer for a right to hire assignment with one of our premier financial services clients in…
Added 2 hours ago
JG
ForgeRock IAM Engineer
J&M Group
Algoma Unorganized North Part, ON
- Full-time
Added 2 hours 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…

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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