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Added 46 mins ago
LI
IT Enterprise Architect/Strategist
Lotus IT Solutions
Toronto, ON
- Contract
The Ministry of Public and Business Service Delivery and Procurement is seeking a Senior IT Enterprise Architect/Strategist to join the Enterprise Technology & Digital Standards (ETS) team…
Added 1 hour ago
M
IMA Systems Architect
MANNARINO
Montreal, QC
- Full-time
Define and specify platform requirements for avionics systems.
Added 1 hour ago
E
AI DevOps Specialist (AI Enablement & Secure DevOps)
Experis
Canada
- Contract
Operational Scope: Support across global Hardware Platform Solutions (HPS) Design Centers and secure testing labs (including the Hardware Platform Solutions (HPS) Innovation Lab and local…
Added 1 hour ago
R
Sr. Salesforce Administrator/ Business Analyst
Recfront
Toronto, ON
- Contract
Troubleshoot complex platform, process, data, permissions, and reporting issues.
Added 1 hour ago
CO
Application & Integration Technical Analyst
City of Saint John
Saint John, NB
- Full-time
Architect, build and maintain a hybrid integration platform, utilizing web services or RESTful-based integrations and APIs
Added 2 hours ago
C
Expert System Architecture
CN
Toronto, ON
- Full-time
Collaborate with application, infrastructure, data, security, platform, and integration teams.
Added 2 hours ago
FI
Application Architect
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Toronto, ON
- Contract
…include developing, implementing and managing at least one cross-platform application in a large and distributed environment, monitor the whole system, understand all interactions between…
Added 2 hours ago
MC
Senior Dynamics 365 F&O Functional Advisor Architect (36149)
Myticas Consulting
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- Full-time
We are recruiting a Senior Dynamics 365 Finance & Operations Functional Advisor / Architect to support the continued evolution of a complex enterprise D365 environment.
Added 2 hours ago
O
Staff FullStack Engineer, Secures AI
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Toronto, ON
- $160,000 to $220,000 CAD / year
- Full-time
…first Identity Security Fabric for the agentic era. You are the architect of our unified control plane, ensuring that we operationalize our North Star: "To get AI right, you have to get…
Added 2 hours ago
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Staff FullStack Engineer, Secures AI
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Waterloo, ON
- $160,000 to $220,000 CAD / year
- Full-time
…first Identity Security Fabric for the agentic era. You are the architect of our unified control plane, ensuring that we operationalize our North Star: "To get AI right, you have to get…
Added 2 hours ago
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Staff FullStack Engineer, Secures AI
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Kitchener, ON
- $160,000 to $220,000 CAD / year
- Full-time
…first Identity Security Fabric for the agentic era. You are the architect of our unified control plane, ensuring that we operationalize our North Star: "To get AI right, you have to get…
Added 2 hours ago
W
Machine Learning Scientist III - Customer Service AI
Wayfair
Toronto, ON
- $211,914 to $225,158.5 CAD / year
- Full-time
Advanced Research & System Design: Architect, fine-tune, and evaluate state-of-the-art foundation models (parameter-efficient fine-tuning, RLHF/DPO, domain-adapted pretraining) and agentic…
Added 2 hours ago
Z
AI Architect + Azure Databricks
Zoho
Toronto, ON
- Contract
Principal AI Architect – Bordereaux (BDX) AI Framework & Agentic Data Platform
Added 3 hours ago
K
Staff Software Engineer, Identity and Access Management
Kong
Toronto, ON
- Full-time
As a Staff Software Engineer on the Konnect team at Kong, you’ll architect Kong Identity's multi-tenant identity platform supporting complex organizational hierarchies, cross-tenant…
Added 3 hours ago
J
Salesforce Technical Architect
Jobgether
Canada
- Full-time
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Salesforce Technical Architect based in Canada.
Added 3 hours ago
TC
IVR Automation tester
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
…automation. Experience with Genesys Cloud CX or a similar CCaaS platform is…
Added 4 hours ago
AC
Manager, Enterprise Data Platform & Governance
Air Canada Vacations
Montreal, QC
- Full-time
The Manager, Enterprise Data Platform & Governance will lead the team responsible for building, operating, scaling, and securing ACV’s core data infrastructure. In this role, you will be…
Added 4 hours ago
D
Solutions Architect
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Calgary, AB
- Full-time
We're looking for a Solutions Architect to partner with some of the world's most recognized brands and help them unlock the full power of the Adobe ecosystem. In this highly visible role,…
Added 6 hours ago
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Senior Network Engineer
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- Full-time
…mission-critical networks. This role requires a solid background in data center technologies, firewalls, load balancers, and wireless technologies. You will support our current…
Added 6 hours ago
TI
GCP Solutions Architect
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Canada
- Full-time
The Solution Architect is the senior technical authority responsible for the end-to-end architectural design, client IT approval, and technical governance of multi-agent AI platforms.…
Added 6 hours ago
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Staff Software Developer, Simulation / Développeur(se) logiciel principal(e), Simulation
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Added 7 hours ago
WMS Software Developer [OPERATIONS TECHNOLOGY]
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Toronto, ON
…management system (The Körber Warehouse Advantage/ HighJump Platform) via Webwise Page Editor, Advantage Architect and SQL. This position is preferred to be seated and eligible for hybrid…
Added 7 hours ago
Staff FullStack Engineer, Secures AI
Okta
Toronto, ON
…first Identity Security Fabric for the agentic era. You are the architect of our unified control plane, ensuring that we operationalize our North Star: "To get AI right, you have to get…
Added 8 hours ago
C
Senior Solutions Engineer
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Montreal, QC
- Full-time
We are building the world's leading Enterprise Agentic AI platform that empowers companies to deploy intelligent search, AI assistants, and AI agents grounded in trusted internal
Added 9 hours 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
- Experience in a similar role such as technical account manager, consultant, solutions architect, platform engineer, systems engineer, cloud architect, or service delivery manager

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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