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Added 11 mins ago
P
Content & Communications Lead, Pontosense
Pontosense
Toronto, ON
- Full-time
The test: people reach out to us because of something they saw.
Added 11 mins ago
P
Community Manager, Silvie Ambassadors
Pontosense
Toronto, ON
- Full-time
…that bring the community together. Social media is part of the job, but it isn't the centre of it. This is a building role. The programme is new, and you'll shape…
Added 11 mins ago
Event / Tactical Security Professional $23.26/hr: FT/Supernumerary Days
VxL
Toronto, ON
You MUST be drug free, this includes Cannabis, there is a drug test portion to the application process, we will find out if you lied
Added 26 mins ago
Manager, Analytical R&D (Lab Automation)
Apotex
Toronto, ON · Etobicoke, ON
…Development Team. Ensures the quality of documentation and test results generated in the…
Added 26 mins ago
SA
Sales Consultant
Steele Auto Group
St. John's, NL
- Full-time
At Steele Auto Group, work is more than a job. It is a chance to inspire positive impact through every interaction, every vehicle, every journey. Our people are at the heart of it all,…
Added 41 mins ago
BW
Full Time Irreg Emergency Medical Call Taker (EMCT) - Kamloops (e)
BC Women's Hospital and Health Centre
Kamloops, BC
- Full-time
Shortlisted candidates will be invited to complete an online CritiCall assessment. This test will assess several pertinent skills, which will include, but is not limited to:
Added 41 mins ago
SI
Salesforce Marketing Cloud Developer - Strong Automation Studio, Email Studio and AMPscript
Smart IT Frame LLC
ON · Ontario, Canada
- Contract
Job Title: Salesforce Marketing Cloud Developer - Strong Automation Studio, Email Studio and AMPscript
Added 41 mins ago
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Finance Business & Data Analyst
Vertage
Montreal, QC
- Contract
Develop, test, and deploy Data Quality Rules (DQRs) using SQL.
Added 56 mins ago
P
Lifecycle Marketing Manager, Silvie
Pontosense
Toronto, ON
- Full-time
Testing and measurement: A/B test journeys, timing and copy, with clear dashboards for activation, retention, referral and churn.
Added 56 mins ago
P
Product Engineer, Mobile & UX
Pontosense
Toronto, ON
- Full-time
Prototype, develop, test and ship features with speed and quality.
Added 1 hour ago
P
Lifecycle Marketing Manager, Silvie
Pontosense
Toronto, ON
- Full-time
Testing and measurement: A/B test journeys, timing and copy, with clear dashboards for activation, retention, referral and churn.
Added 1 hour ago
PH
FULL TIME Irreg Emergency Medical Call Taker (EMCT) - Victoria/Langford
Provincial Health Services Authority
Victoria, BC
- Full-time
Shortlisted candidates will be invited to complete an online CritiCall assessment. This test will assess several pertinent skills, which will include, but is not limited to:
Added 1 hour ago
PH
Medical Laboratory Assistant - Sechelt
Provincial Health Services Authority
Vancouver, BC
- Temporary
Register patients, generate blood collection lists, and manage test data using the Laboratory Information System (LIS) and related databases
Added 1 hour ago
PH
Full Time Irreg Emergency Medical Call Taker (EMCT) - Kamloops (e)
Provincial Health Services Authority
Kamloops, BC
- Full-time
Shortlisted candidates will be invited to complete an online CritiCall assessment. This test will assess several pertinent skills, which will include, but is not limited to:
Added 1 hour ago
PH
FULL TIME Irreg Emergency Medical Call Taker (EMCT) - Vancouver (e)
Provincial Health Services Authority
Vancouver, BC
- Full-time
Shortlisted candidates will be invited to complete an online CritiCall assessment. This test will assess several pertinent skills, which will include, but is not limited to:
Added 1 hour ago
PH
Laboratory Assistant, Accessioning
Provincial Health Services Authority
Vancouver, BC
- Full-time
Processes test requisitions by entering patient data into computer systems, issues new patient identification information where required and identifies duplicate record problems, obtains or…
Added 1 hour ago
GD
Computer Modeling & Simulation Staff Specialist/Engineer
General Dynamics Land Systems–Canada
London, ON
- Full-time
Perform test data analyses and simulation validations
Added 1 hour ago
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Personal Support Worker - Casual Overnights
Qualicare
Whitby, ON
- $20 to $23 USD / hour
- Part-time
Added 1 hour ago
P
Product Engineer, Mobile & UX
Pontosense
Toronto, ON
- Full-time
Prototype, develop, test and ship features with speed and quality.
Added 1 hour ago
C
Financial Services Representative II
CIBC
Kingston, ON
- Full-time
We may ask you to complete an attribute-based assessment and other skills test (such as simulation, coding, French proficiency).
Added 1 hour ago
AH
Beltline Outreach Worker 4pm to Midnight
ALPHA HOUSE
Calgary, AB
- Full-time
Job Type: Permanent-Full-Time (Monday to Friday, 4pm To Midnight)
Added 1 hour ago
AH
Beltline Outreach Worker 10 PM to 8 AM
ALPHA HOUSE
Calgary, AB
- Full-time
Job Type: Permanent-Full-Time (3 days on 3 days off, 10 PM to 8 AM)
Added 1 hour ago
A
Quality Lead
Accenture
Toronto, ON
- Full-time
At Accenture Construct, that's the job. You'll help deliver the data centers, power grids, rail networks, factories and public infrastructure that keep communities moving - smarter, safer…
Added 1 hour ago
MM
QA Automation Engineer
Mitchell Martin Inc.
Toronto, ON
- $31 to $41 USD / hour
- Other
Design and develop automated test scripts using automation tools.
Added 1 hour ago
MM
Senior Oracle DBA
Mitchell Martin Inc.
Toronto, ON
- $48 to $58 USD / hour
- Other
Partner with infrastructure teams to design, test, and execute cloud database migrations.

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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