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Added 1 hour ago
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AI/ML Engineer
lululemon
Vancouver, BC
- Full-time
The Enterprise Data & AI team is a strategic and operational driver of growth for lululemon, owning and building the data and AI platforms and products that enable the enterprise to operate…
Added 1 hour ago
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Analyste d’affaires – D365 Business Central (Secteur Manufacturier)
CGI
Montreal, QC
- Full-time
Design and configure solutions from the Insight Works suite to optimize shop floor data collection, production time tracking, barcode-based warehouse management (WMS), and inventory…
Added 1 hour ago
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2027 Capital Markets, Global Equities, AI Engineer (16 Months, Co-op)
RBC
Toronto, ON
- Full-time
…innovative trade execution algorithms and advanced analytics solutions. This role presents a unique opportunity to contribute to cutting-edge research and development in quantitative…
Added 2 hours ago
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Process/Project Engineer
Innophos
Port Maitland, ON
- $90,000 to $105,000 CAD / year
- Full-time
The Process/Project Engineer is primarily responsible for project development, estimation, planning, and execution. In addition, they are responsible for conducting engineering studies…
Added 2 hours ago
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Continuous Improvement Engineer
Wonderbrands
Toronto, ON · Greater Toronto Area, ON
- Other
Reporting to the Continuous Improvement Leader, the Continuous Improvement Engineer will work on continuous improvement projects related to continually reducing costs and increasing overall…
Added 2 hours ago
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Entry Level Environmental Engineer/Scientist/Geologist
Jacobs
Kitchener, ON
- $58,656 to $86,000 USD / year
- Full-time
…a difference. We are seeking an Early Career Environmental Engineer, Geologist, or Scientist to join our Toronto or Kitchner office and support site characterization, remediation, and…
Added 2 hours ago
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Entry Level Environmental Engineer/Scientist/Geologist
Jacobs
Toronto, ON
- $58,656 to $86,000 USD / year
- Full-time
…a difference. We are seeking an Early Career Environmental Engineer, Geologist, or Scientist to join our Toronto or Kitchner office and support site characterization, remediation, and…
Added 3 hours ago
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D365 F&O Functional Analyst
Aston Carter
Richmond, BC
- Contract
…that platform capabilities align with business needs and that data governance and operational excellence are consistently…
Added 3 hours ago
GA
Solutions Engineer Intern
Geekplus America Inc
Markham, ON
- Internship
We are looking for a motivated and technically curious Solutions Engineering Intern to join our Solutions team. This role is ideal for engineering student who enjoys combining data…
Added 3 hours ago
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Optical Systems Validation Engineer
Qualcomm
Ottawa, ON
- Full-time
Bleeding Edge Technology: You will be involved with the electrical and/or optical characterization activities of next generation products targeted for AI and data center applications
Added 4 hours ago
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Graduate Process Engineer
Worley
Sarnia, ON
- Full-time
…they meet today's needs and transition to more sustainable…
Added 4 hours ago
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Machine Learning Engineer, AI Software (C++)
Qualcomm
Markham, ON
- Full-time
Design and implement high-performance software solutions that extend GenAI capabilities across customer use cases.
Added 5 hours ago
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Senior Java Engineer - Kafka & Distributed Systems
Hays
Toronto, ON
- Contract
We’re seeking an experienced Senior Java Engineer - Kafka & Distributed Systems with strong Core Java skills, proven expertise in data streaming (e.g., Apache Kafka, Apache Flink), and…
Added 5 hours ago
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Software Architect
trane technologies
Montreal, QC
- Full-time
A sustainable future demands ongoing digital advancement. Our digital solutions team leads the way in developing next-generation climate technology focused on reducing demand-side energy…
Added 6 hours ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Vancouver, BC
- Full-time
We are seeking a hands-on Salesforce Platform and AI Engineer to design, build, and scale secure, data-driven solutions that advance CCS’s mission. This role combines Salesforce…
Added 6 hours ago
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Staff Information Security Engineer - Threat Detection & Response
Visier
Remote, Canada
- Full-time
- Remote
…planning, organizational design, and manager effectiveness solutions, we fuel smarter decision-making for organizations across the globe. Our mission is to help businesses lead with insight…
Added 6 hours ago
S
Quality Engineer, Co-op
Stryker
Burnaby, BC
- Full-time
The role is focused on developing automation solutions, AI-enabled workflows, agents, dashboards, and analytical tools that support the collection, compilation, analysis, and reporting of…
Added 6 hours ago
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Senior Software Engineer - Java/React
PointClickCare
Mississauga, ON
- Full-time
Own the reliability and performance of critical healthcare solutions
Added 6 hours ago
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Principal Software Engineer
PointClickCare
Mississauga, ON
- Full-time
Own the reliability and performance of critical healthcare solutions
Added 7 hours ago
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Principal Software Engineer
PointClickCare
Mississauga, ON
- $142,700 to $178,400 CAD / year
- Full-time
Own the reliability and performance of critical healthcare solutions
Added 7 hours ago
P
Senior Software Engineer - Java/React
PointClickCare
Mississauga, ON
- $130,100 to $162,600 CAD / year
- Full-time
Own the reliability and performance of critical healthcare solutions
Added 7 hours ago
AT
Hardware Engineer Co-op
Arlo Technologies
Richmond, BC · CA - British Columbia - Richmond
- $3,500 to $4,000 CAD / month
- Full-time
At Arlo, we're passionate about creating innovative and reliable solutions that help people protect what matters most to them. Our team is dedicated to delivering products that exceed our…
Added 7 hours ago
CG
Software Safety Engineer – AI, LLM & SW-FMEA Automation
CS GROUP
Montreal, QC
- Full-time
We are seeking a Software Safety Engineer with expertise in Artificial Intelligence (AI), Large Language Models (LLMs), and software safety engineering to support an initiative focused on…
Added 8 hours ago
Senior AI Engineer, IT Solutions 1 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 8 hours ago
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Applied AI Engineer (Generative AI & Agentic Apps) - Onsite Only
Vivid Soft Global
Montreal, QC
- Contract
Applied AI Engineer (Generative AI & Agentic Apps) | Montreal, QC (100% Onsite)

Celestica International LP

Senior AI Engineer, IT Solutions 1 1 1

Toronto, ON, Canada

Salary Range: $117,999 - 183,915 USD

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Job details

Pay: Salary Range: $117,999 - 183,915 USD
Posting language: English
Posted: Nov 3, 2026

Original job description

Req ID: 141818 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: $117,999 - 183,915 USD

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 defining technical requirements, designing AI architectures, 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
LLMs
RAG
Prompt Engineering
Vector Databases
MLOps
Data Engineering
PyTorch
TensorFlow
LangChain
LlamaIndex
Cloud AI Services
Data Modeling

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
Generative AI
RAG
LLMs
Python
NumPy
Pandas
PyTorch
TensorFlow
LangChain
LlamaIndex
Semantic Kernel
Azure AI Studio
AWS Bedrock
Google Vertex AI
MLOps
CI/CD
Vector Databases
Pinecone
Weaviate
Milvus
Data Engineering
Agile
Scrum
Kubernetes
Docker
MLflow
Kubeflow
Data Governance

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