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Added 7 mins ago
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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 38 mins ago
AS
Quality Engineer
AgileGrid Solutions
Canada
- Full-time
…multiple Deloitte awards. As demand for generative AI, high-performance computing, and cloud services continues to expand, CoolIT is helping customers meet increasingly demanding technology…
Added 38 mins ago
JA
Protection & Control Engineer
JR Automation
Montreal, QC · Saint-Laurent, QC
- Full-time
Basic Function: The Protection & Control (P&C) Engineer is responsible for the design, development, and implementation of protection and control systems for electrical power projects. This…
Added 38 mins ago
NG
Data Center Engineer
NSC Global
MB
- Full-time
We are seeking an experienced Data Center Engineer to provide on-site technical support within a mission-critical data center environment. The successful candidate will be responsible for…
Added 38 mins ago
JA
Technical Specialist, Senior - Vital Software
JR Automation
Toronto, ON
- Full-time
…solutions, drive architectural consistency, and support system performance, safety, and reliability objectives. Working under the direction of the Chief Software Architect, the incumbent…
Added 38 mins ago
JA
Software Architect - Vital Software
JR Automation
Toronto, ON
- Full-time
…the Chief Software Architect, the role contributes to system performance, safety assurance, technology innovation, and software engineering excellence across the full project…
Added 38 mins ago
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System Configuration Specialist / Spécialiste en configuration de systèmes (CS004)
Potenco
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
Configure, test, maintain, monitor, and troubleshoot workstations, servers, equipment, software, network peripherals, cabling, and networking infrastructure.
Added 52 mins ago
HA
Sr Advanced Mechanical Design Engineer
Honeywell Aerospace
Mississauga, ON
- Full-time
…opening for the newly created position of Sr. Advanced Mechanical Engineer. The position is responsible for creating product design changes necessitated by materials obsolescence and…
Added 1 hour ago
Systems Software Engineer - EA SPORTS™ NHL
Electronic Arts
Vancouver, BC
We're looking for a Systems Software Engineer or someone interested in expanding their knowledge in the Systems area. Our Systems Engineers maintain a broad view of the game and engine…
Added 1 hour 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 1 hour 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 1 hour ago
NS
Power Engineer
Nova Scotia Power
Trenton, NS
- Full-time
We are looking for a Power Engineer to join our team. Reporting to the Power Production team in a permanent position. Reporting to the Shift Supervisor, you will be responsible for all…
Added 1 hour ago
BS
Data Acquisition Engineer
Bartech Staffing
Windsor, ON
- $34 to $36.8 CAD / hour
- Contract
As a Data Acquisition Engineer with Bartech Staffing, you will be working through an established and respected staffing organization with over 40 years of serving as a trusted partner to…
Added 1 hour ago
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Associate Software Development Engineer in Test (SDET)
SOTI
Mississauga, ON
- Full-time
2+ years of experience as Software Development Engineer or (SDET) Software Development Engineer in Test role
Added 2 hours ago
ASIC Digital Design, Sr Staff Engineer-19314
Synopsys
Markham, ON
A motivated and innovative ASIC digital verification engineer with relevant experiences. Working as part of a highly experienced mixed-signal design team, the candidate will be involved in…
Added 2 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 2 hours ago
DF
Full-Stack Automation Engineer
DUCA Financial Services Credit Union Ltd.
Toronto, ON · North York, ON
- Full-time
The Full‑Stack Automation Engineer is responsible for contributing to the designing, building, and maintaining of robust automation solutions that support DUCA’s automation strategy across…
Added 2 hours ago
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Vehicle Systems Engineering
Geotab
Waterloo, ON
- Full-time
As a Vehicle Systems Engineer, your key areas of responsibility will include investigating vehicle electrical, hardware, and communications systems; developing and documenting methods to…
Added 2 hours ago
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Senior Vehicle Systems Engineering
Geotab
Waterloo, ON
- Full-time
…deliver results! Geotab is seeking a Senior Vehicle Systems Engineer to lead complex vehicle reverse-engineering projects and develop safe, reliable vehicle data solutions that support…
Added 2 hours ago
RNE Student
Eastlink
Halifax, NS
Develop tools to streamline engineering and performance related processes / evaluations
Added 3 hours ago
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Vice President, ETF Algo Engineer
BMO
Toronto, ON · FCP
- Full-time
We are seeking an ETF Algo Engineer to design and support low-latency electronic trading algorithms for our ETF Market Making team, using AI-assisted development to improve engineering…
Added 3 hours ago
TI
Performance Engineer
Themesoft Inc.
Toronto, ON
- Contract
7+ years of hands-on experience in performance testing & engineering using JMeter and APM tools (Prometheus, Dynatrace, Datadog)
Added 3 hours ago
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Director, Legal Engineering
Legora
Toronto, ON
- Full-time
This is a Director-level leadership role. Your primary output will be the quality and performance of the team and system you build. You will stay close enough to the product and the work to…
Added 5 hours ago
TI
Performance Test Engineer
Themesoft Inc.
Toronto, ON
- Contract
Hands-on experience in performance testing & engineering using JMeter and APM tools (Prometheus, Dynatrace, Datadog)
Added 6 hours ago
X
Software Engineer Co-op
XRSounder
Burnaby, BC
- Full-time
As Xradar's Software Engineer Co-op, you will be part of the R&D team and help build software for our NDT devices. Our applications bring hardware and software together, turning complex…

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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