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Added 9 mins ago
Senior Engineering Specialist
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 39 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 53 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 1 hour 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 2 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…
Added 2 hours 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
Minimum 10 years of experience in a senior technical role in train control systems or automation in other industries such as aerospace, defense, automotive, medical or nuclear
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
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…
Added 3 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 3 hours ago
Senior QA Engineer
Konrad
Toronto, ON
As a Senior QA Engineer, you will play a hands-on role in engineering quality into complex digital products across web, mobile, API, and backend systems. You will combine strong software…
Added 3 hours ago
JA
Technical Safety Specialist
JR Automation
Burnaby, BC
- Full-time
Minimum 10 years of experience in a senior technical role in train control systems or automation in other industries such as aerospace, defense, automotive, medical or nuclear
Added 3 hours ago
JA
Senior Power Applications Engineer
JR Automation
Stoney Creek, NB
- Full-time
Ready to help shape the future of energy? Join Hitachi Energy as a Senior Power Applications Engineer and play a key role in delivering advanced software solutions that support reliable,…
Added 4 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 4 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 4 hours ago
SF
Senior Site Reliability Engineer
Safe Fleet
Coquitlam, BC
- Full-time
The Senior Site Reliability Engineer owns reliability, resilience and operational health across SafeFleet’s cloud-native product ecosystem. This is a hands-on engineering role with…
Added 4 hours ago
SF
Senior AI Engineer
Safe Fleet
Coquitlam, BC
- Full-time
We are looking for a hands-on Senior AI Engineer to build the platform that makes that possible - the shared services, agent framework, standards and tooling that allow every engineer on…
Added 4 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 5 hours ago
X
Senior Engineer - Enterprise Platforms
Xero
Vancouver, BC
- Full-time
As a Senior Engineer on the Enterprise Platforms team, you will provide technical expertise across the platforms, integrations, automations, and AI tools that support Xero’s global teams.…
Added 9 hours ago
M
RQ00831 - DevOPS/Cloud Engineer - Senior
Maarut
Toronto, ON
- Contract
Senior-level AWS cloud engineering and DevOps experience building, operating, and troubleshooting production serverless, containerized, networking, security, and shared platform resources…
Added 10 hours ago
SL
Senior Software Engineer, Operations – Core Java & iOS focus
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Waterloo King
- Full-time
We are looking for a Senior Software Engineer with strong full-stack Java experience and hands-on iOS development skills. You will develop and support reliable applications across the web,…
Added 12 hours ago
X
Senior Forward Deployed Engineer
Xero
Remote, Canada
- Full-time
- Remote
As a Senior Engineer within the Internal AI Accelerator Squad, you will be at the forefront of Xero’s transformation into an AI-native company. You will act as a forward-deployed engineer,…
Added 12 hours ago
N
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,…

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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