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Added 1 hour ago
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Principal, AI Agent Control & Governance
ATB
Edmonton, AB · Calgary, AB
- Full-time
The Principal will architect, execute, and scale operational AI solutions and agent governance frameworks across ATB's enterprise AI platform infrastructure. The Principal, AI Agent Control…
Added 4 hours ago
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Software Engineer - Backend
Nominal
Montreal, QC
- $179,000 to $250,000 CAD / year
- Full-time
Architect and evolve distributed systems that ingest, process, and persist high-frequency telemetry and sensor data.
Added 6 hours ago
SM
RQ00239 – Senior Data Architect/Modeller
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking an experienced Senior Data Architect/Modeller with significant expertise in enterprise data architecture, conceptual, logical, and physical data modelling, cloud data…
Added 6 hours ago
SM
RQ00239 – Senior Data Architect/Modeller
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking an experienced Senior Data Architect/Modeller with significant expertise in enterprise data architecture, conceptual, logical, and physical data modelling, cloud data…
Added 6 hours ago
SM
RQ00239 – Senior Data Architect/Modeller
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking an experienced Senior Data Architect/Modeller with significant expertise in enterprise data architecture, conceptual, logical, and physical data modelling, cloud data…
Added 6 hours ago
M
Cloud Solution Architect - AI Apps
Microsoft
Calgary, AB · Vancouver, BC
- Full-time
We are looking for a Cloud Solution Architect (CSA) who is passionate about driving our customers’ application innovation & AI transformation on the Microsoft platform. As part of this…
Added 8 hours ago
HH
Senior AI Automation & Platform Architect
Health Hue Digital
Remote, Canada
- Full-time
- Remote
We are looking for a technical powerhouse to architect the automated infrastructure behind our plastic surgery and medical spa clients. This is not a settings-manager role; it is an…
Added 14 hours ago
QM
Azure Applications Architect
Quantum Management Services Ltd.
Toronto, ON
- $135,000 to $140,000 CAD / year
- Full-time
We are seeking an Azure Application Cloud Solutions Architect / Technical Lead to design, develop and implement scalable, cloud-native applications and integration solutions within…
Added 16 hours ago
ES
Senior Systems Architect
Euna Solutions
Oakville, ON
- Full-time
…portfolio runs on, and this role owns that foundation. As Senior Architect, you will define the standards, patterns, and technical direction for cloud infrastructure, identity, integration,…
Added 16 hours ago
M
Cloud Solution Architect - AI Apps
Microsoft
Vancouver, BC
- Full-time
We are looking for a Cloud Solution Architect (CSA) who is passionate about driving our customers’ application innovation & AI transformation on the Microsoft platform. As part of this…
Added 17 hours ago
A
Software Architect: AEC Platform Data
Autodesk
Quebec, QC
- Full-time
Added 17 hours ago
A
Software Architect: AEC Platform Data
Autodesk
Montreal, QC
- Full-time
Added 17 hours ago
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Software Architect: AEC Platform Data
Autodesk
Toronto, ON
- Full-time
Added 20 hours ago
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Interior Architect & Project Manager/Architecte d’intérieur & Gestionnaire de projets
Lodgo
Montreal, QC
- Full-time
As we grow, we are seeking an Interior Architect & Project Manager to lead interior design, renovation, and space transformation projects.
Added 1 day ago
FT
AI Field Engineer, EMEA
FDE Times
London, ON
- Full-time
5+ years in a hands-on, customer-facing technical role: Forward Deployed Engineer, Applied AI Engineer, Solutions Architect, ML Engineer with field exposure, or technical founder.
Added 1 day ago
FT
Agent Deployment Engineer - Spanish Speaking
FDE Times
Toronto, ON
- Full-time
…Agents require hands-on execution, rigorous iteration, and deep technical delivery to reach enterprise-grade…
Added 1 day ago
FT
Agent Deployment Engineer
FDE Times
Toronto, ON
- Full-time
…Agents require hands-on execution, rigorous iteration, and deep technical delivery to reach enterprise-grade…
Added 1 day ago
MF
Solution Architect
Mackenzie Financial Corporation
Toronto, ON · Greater Toronto Area, ON
- Other
The Solution Architect plays a key role in shaping and delivering technology solutions that support IG's marketing, advisor engagement, and digital experience capabilities. Working closely…
Added 1 day ago
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Spécialiste en systèmes de fabrication / Manufacturing Systems Specialist
Genetec
Montreal, QC
- Full-time
We are seeking a Manufacturing Systems Specialist to serve as the primary technical bridge between our R&D engineering teams and contract manufacturing (CM) partners. In this role, you will…
Added 1 day ago
TS
Sr Software Engineering Lead/ Architect
TalentSphere Staffing Solutions
Toronto, ON · North York, ON
- Full-time
This opportunity would suit an experienced Software Architect, Technical Lead, Principal Software Engineer, Software Development Lead, Embedded Software Lead, or hands-on Software…
Added 1 day ago
DG
Software Engineering Architect
Dexterra Group
Calgary, AB
- Full-time
…across teams, functions and initiatives. As Software Engineering Architect, you’ll bring those efforts together, establish stronger engineering practices and create the structure needed to…
Added 1 day ago
DG
Software Engineering Architect
Dexterra Group
Mississauga, ON
- Full-time
…across teams, functions and initiatives. As Software Engineering Architect, you’ll bring those efforts together, establish stronger engineering practices and create the structure needed to…
Added 1 day ago
Senior Software Engineer (.NET)
Electronic Arts
Vancouver, BC
This exciting role offers the opportunity to architect and enhance software applications used to create games, at an Enterprise level. You will have the chance to work with game teams…
Added 1 day ago
RI
Product Manager (Accounting & ERP)
Remarcable, Inc.
Remote, Canada
- $100,000 to $150,000 CAD / year
- Full-time
- Remote
This is not a "just keep the roadmap moving" type of role. You’ll be a strategic owner, systems thinker, and technical product leader who bridges the gap between field procurement and…
Added 1 day ago
Enterprise Architect (2 positions)
Innovation and New Technology
Winnipeg, MB
consistency and interoperability between systems and reduces complexity, duplication, and technical debt.

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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