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Added 7 mins ago
Quality Engineer - YYJ
Westerkirk
Victoria, BC
Perform investigation related to corrective actions including root cause analysis of significant product quality problems.
Added 7 mins ago
SS
Head of Software & Perception
SkyCan Systems
Barrie, ON
- Full-time
SW Division Lead - Embedded Firmware, Perception, GCS & Product Security
Added 7 mins ago
D
Lead, Forward Deployed Engineering
Deliverect
Toronto, ON
- Full-time
The Product Department at Deliverect is at the forefront of the digital ordering revolution, dedicated to consistently delivering groundbreaking solutions to the global marketplace. Our…
Added 7 mins ago
CE
Manufacturing Engineer - Injection Moulding
Canadian Executive Search Group (USA) Inc / Division of Arrow Group of Companies
ON · Chatham-Kent, ON
- $70,000 to $115,000 CAD / year
- Full-time
We are hiring a Manufacturing Engineer to support a high-volume Tier 1 automotive manufacturing environment. This role will focus on process development, automation, equipment optimization,…
Added 37 mins ago
A
Senior Python Backend Engineer
Apexon
Toronto, ON
- $120,000 to $150,000 CAD / year
- Contract
We bring together distinct core competencies in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, with proprietary accelerators and…
Added 38 mins ago
AM
Mechanical Design Engineer
AVL Manufacturing Inc.
Hamilton, ON
- Full-time
…cycle mechanical designs and drawings from concept to completed product for Genset Enclosures, Fuel Tanks, Modified Containers and other custom…
Added 38 mins ago
CD
Advanced Manufacturing & Automation Engineer
Crop Defenders Ltd
Windsor, ON
- Full-time
Advanced Manufacturing & Automation Engineer – Windsor, ON
Added 38 mins ago
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Analog Validation & Characterization Engineer
HaiLa
Montreal, QC
- Full-time
We are looking for an experienced Analog Validation & Characterization Engineer to lead the electrical validation, characterization, and production test development for our analog, RF, and…
Added 1 hour ago
AS
Technical Lead - AI Delivery
Ardent SoftSol Inc.
Brampton, ON
- Contract
Collaborate with Program Managers and Product Owners to estimate effort, manage technical risks, and deliver against committed timelines.
Added 1 hour ago
ZT
Quality Assurance Engineer
Zensar Technologies
Toronto, ON
- Full-time
Performance Engineering: Identify bottlenecks in the data product lifecycle. Analyze how the system behaves under high load and work with developers to optimize performance.
Added 2 hours ago
ML
AI Engineer
MACHINE LEARNING TECHNOLOGIES LLC
Toronto, ON
- Full-time
Work closely with product managers, data scientists, and domain experts to define technical solutions aligned with business needs.
Added 2 hours ago
W
Data Engineer
Wiraa
Canada
- Full-time
We are seeking a versatile and highly motivated Data Engineer to join our data analytics and reporting team. This pivotal role bridges the gap between raw data and actionable business…
Added 2 hours ago
MT
Process Engineer
Modern Technical Staffing Inc.
Guelph, ON
- $90,000 to $105,000 CAD / year
- Full-time
Our client in Guelph is looking for a Process Engineer. They are seeking someone who has been employed as a Manufacturing or Process Engineer with a low volume, high mix, CNC Machining…
Added 2 hours ago
Graduate Environmental Scientist / Graduate Environmental Engineer
GHD Group Pty Ltd
Vancouver, BC
…to grow your career to the next level! As an Environmental Engineer/Scientist – Emergency Response, you will play a meaningful role within our Environmental Group. This position gives…
Added 2 hours ago
Senior Data Platform Engineer
The Canada Life Assurance Company
London, ON · Toronto, ON
The Senior Data Platform Engineer is responsible for providing data platform and tool solutions to support business needs at Canada Life. Leveraging your cloud and Microsoft Azure technical…
Added 3 hours ago
SP
Software Engineering SMTS
Salesforce Partner Canada
Toronto, ON
- Full-time
…skills based architecture, that turn expert only, multi step product configuration, Org troubleshooting and management into natural language, agent assisted workflows. As part of this team,…
Added 4 hours ago
C
Senior Presales Engineer
ChapsVision
Montreal, QC
- Full-time
Nous recherchons un(e) Ingénieur(e) avant-vente (PreSales Engineer) afin de soutenir la croissance d’ArgonOS en Amérique du Nord.
Added 7 hours ago
C-
Technical Sales Intern- Mississauga
Captiveaire - Region 114 Western PA
Mississauga, ON
- Volunteer
…December 2026 or May 2027 and has an interest in being a Sales Engineer. The role will be part time in the…
Added 7 hours ago
T
QA Engineer- Salesforce Marketing Cloud (SFMC)
Tru
Toronto, ON
- Full-time
The successful candidate will be responsible for validating campaign configurations, customer journeys, data integrations, personalization, segmentation, and outbound communications across…
Added 8 hours ago
AC
Database Administrator
Amphenol Communications Solutions
Markham, ON
- Full-time
…consistent path from enterprise summaries to region, site, product, customer, and transaction details where data and permissions…
Added 8 hours ago
T
Quality Assurance Engineer
Trulioo
Remote, Canada
- $85,000 to $95,000 CAD / year
- Full-time
- Remote
Reporting to the Manager, Quality Assurance, the Quality Assurance Engineer will be responsible for delivering quality software for the Trulioo SaaS platform. This role involves designing…
Added 8 hours ago
MS
Senior Engineer II, Proxy
Menlo Security
Remote, Canada
- Full-time
- Remote
We're hiring a senior engineer to join the team that owns the ingress proxy service. The proxy is the primary path into the product for most users. As AI adoption grows, our customers want…
Added 9 hours ago
G
Quality Assurance Specialist
Gastops
Ottawa, ON
- Contract
…improvement opportunities, and promotes a culture of quality, product safety, human factors awareness, risk-based thinking, and continual…
Added 9 hours ago
CT
Lead/Senior Data Engineer
Celebal Technologies
Ottawa, ON
- Contract
Our client is seeking an experienced, hands-on Senior Data Engineer to help build and scale the enterprise data foundation supporting Analytics, AI, and self-service decision-making across…
Added 9 hours ago
EN
Principal Wireless SW Engineer
Extreme Networks
Toronto, ON
- Full-time
The Principal Wireless Software Engineer is a senior technical leader responsible for resolving the most complex and business-critical customer issues escalated through the Global Technical…

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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