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Added 58 mins ago
E
DevOps - Spécialiste Solution / DevOps - Solution Engineer
EXFO
Montreal, QC · Quebec, QC
- Full-time
Added 1 hour 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 1 hour ago
NG
Data Center Engineer
NSC Global
MB
- Full-time
We are seeking an experienced Data Center Engineer to provide on-site technical support within a mission-critical data center environment. The successful candidate will be responsible for…
Added 1 hour ago
JA
Software Analyst
JR Automation
Toronto, ON
- Full-time
Produce and execute integration tests on simulated environments and target hardware test benches.
Added 1 hour ago
P
System Configuration Specialist / Spécialiste en configuration de systèmes (CS004)
Potenco
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
Collaborate with the Systems Engineer in preparing technical drawings.
Added 1 hour ago
HA
Sr Advanced Mechanical Design Engineer
Honeywell Aerospace
Mississauga, ON
- Full-time
…opening for the newly created position of Sr. Advanced Mechanical Engineer. The position is responsible for creating product design changes necessitated by materials obsolescence and…
Added 1 hour ago
V
Senior Design Engineer / Développeur·euse design senior
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Montreal, QC
- Full-time
…manufacturers automate 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…
Added 2 hours ago
Systems Software Engineer - EA SPORTS™ NHL
Electronic Arts
Vancouver, BC
We're looking for a Systems Software Engineer or someone interested in expanding their knowledge in the Systems area. Our Systems Engineers maintain a broad view of the game and engine…
Added 2 hours 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 2 hours ago
JA
Spécialiste en technologies de l'information (TI) et technologies opérationnelles (TO)
JR Automation
Varennes, QC
- Full-time
…machines, CCTV and security systems, badging systems, and MES hardware scanners. You will also perform IT/OT cybersecurity operational activities, including first-response tasks,…
Added 2 hours ago
JA
Electrical Installations Design Engineer –Rail Systems
JR Automation
Toronto, ON
- $95,102 to $142,653 CAD / year
- Full-time
The Electrical Installations Design Engineer is responsible for the detailed design and coordination of electrical installation systems, including equipment layout, cable routing, conduit…
Added 2 hours ago
JA
Signaling System Engineer
JR Automation
Mississauga, ON
- Full-time
Hitachi Rail is looking an enthusiastic and self-motivated Signaling System Engineer who thrives in a fast paced environment. This role located on-site in Mississauga, Ontario CA.
Added 3 hours 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 3 hours 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 3 hours ago
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Vehicle Systems Engineering
Geotab
Waterloo, ON
- Full-time
As a Vehicle Systems Engineer, your key areas of responsibility will include investigating vehicle electrical, hardware, and communications systems; developing and documenting methods to…
Added 3 hours ago
G
Senior Vehicle Systems Engineering
Geotab
Waterloo, ON
- Full-time
As a Senior Vehicle Systems Engineer, your key responsibilities will include leading complex vehicle investigations, reverse engineering, and root-cause analysis; defining safe and reliable…
Added 3 hours ago
HA
Advanced Systems Engineer
Honeywell Aerospace
Mississauga, ON
- Full-time
Develop hardware and software requirements specifications
Added 3 hours ago
M
Aerospace Systems Engineer
MANNARINO
Remote, Canada
- Full-time
- Remote
MANNARINO Systems & Software Inc. is a leader in providing safety-critical systems, software, hardware and certification engineering services to the aerospace, defense, space, simulation &…
Added 7 hours ago
X
Software Engineer Co-op
XRSounder
Burnaby, BC
- Full-time
As Xradar's Software Engineer Co-op, you will be part of the R&D team and help build software for our NDT devices. Our applications bring hardware and software together, turning complex…
Added 8 hours ago
SE
Field Application Engineer - Emulation
Siemens EDA (Siemens Digital Industries Software)
Ottawa, ON
- Full-time
The Emulation Applications Engineer provides hands-on technical engineering expertise for the implementation, integration, testing, deployment, and support of Siemens EDA hardware-assisted…
Added 11 hours ago
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Software Engineer 4 - Kubernetes AI Platform Engineering
Nutanix
Vancouver, BC
- $151,000 to $227,000 CAD / year
- Full-time
As an Engineer on the NKP AI Platform team, you will be a key technical leader responsible for architecting, building, and scaling the infrastructure that allows enterprises to train,…
Added 11 hours ago
HT
Manufacturing Engineer (Contract)
Husky Technologies
Bolton, ON
- Full-time
We have an opening for a Mechanical / Manufacturing Engineer working with our Manufacturing Engineering Team as outlined below:
Added 14 hours ago
H
Technical Intern
Hytera
Toronto, ON
- Internship
This technical internship offers a practical opportunity to engage with enterprise communication hardware, PoC application systems, network solutions, and technical customer support.…
Added 17 hours ago
X
Software Engineer Co-op
Xradar
Burnaby, BC
- Full-time
As Xradar's Software Engineer Co-op, you will be part of the R&D team and help build software for our NDT devices. Our applications bring hardware and software together, turning complex…
Added 18 hours ago
S
Firmware Engineer
Solidigm
Vancouver, BC
- Full-time
…of the platform bring up combining simulation, firmware and hardware teams efforts – creating a clear technical vision/roadmap on how to achieve goals, therefore, excellent technical and…

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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