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Added 2 mins ago
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Business Development Representative
Talan
Toronto, ON
- $60,000 to $70,000 CAD / year
- Full-time
Maintain a high level of daily and weekly activities to meet lead generation objectives, utilizing automation and prospecting tools (LinkedIn SalesNavigator, Zoominfo).
Added 17 mins ago
System Specialist II (Field Technician Building Automation Systems BAS - Solutions), Halifax NS
Siemens
Dartmouth, NS · Halifax, NS
We are seeking and intermediate to senior level profile with proven experience working with Building Automation Systems. As a System Specialist, you are a trusted advisor, team player, and…
Added 32 mins ago
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Technical Group Leader
Sanofi
Toronto, ON
- Full-time
Coordinate and support units within department (Upstream, Downstream, MWS) and other outside departments (Maintenance, Automation, QO test labs, etc.) and ensure timely completion of…
Added 32 mins ago
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Manager, Machine Learning Engineering - Agent Factory (
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and…
Added 47 mins ago
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Senior Manager, Data Science – Marketing Measurement & Analytics
TD
Toronto, ON
- Full-time
Analytics, Insights & Artificial Intelligence (AI2) supports TD businesses and corporate functions by providing data, analytics, insights and artificial intelligence solutions that enable…
Added 47 mins ago
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Cloud Software Engineer
McAfee
Toronto, ON · UNAVAILABLE, Ontario
- Full-time
As a Cloud Software Engineer, you will contribute to the full stack solutions for several consumer products using diverse technologies and best software development practices. You will work…
Added 47 mins ago
M
Senior Forward Deployed Specialist
McKesson
Mississauga, ON
- Full-time
McKesson Provider Solutions is seeking a Forward Deployed Specialist to partner directly with business and operational teams to turn complex, high-value problems into validated AI-enabled…
Added 47 mins ago
ASIC Design Verification Internship (16 Month Coop - Summer 2027)
Synopsys
Ottawa, ON
…experience while collaborating with our passionate teams worldwide - and having fun in the process! You'll have the freedom to share your ideas, unleash your creativity, and explore your…
Added 47 mins ago
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Strategic Marketing Manager
Manulife
Toronto, ON · Waterloo, ON · Montreal, QC
- Full-time
…Marketing team. We're building deeper relationships with advisors, and distribution partners through data-driven marketing, innovative media strategies, and engaging content that drives…
Added 47 mins ago
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GIS Analyst
DNV
Montreal, QC
- Full-time
Are you excited by how Geospatial data, analytics, automation, and AI-enabled tools can improve decisions and accelerate a sustainable energy transition?
Added 1 hour ago
Production Support Engineer
Capgemini
Toronto, ON
Respond to incidents and outages, diagnose problems, and implement solutions to minimize downtime and restore service.
Added 1 hour ago
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Senior Automated Test Developer (Contract Until March 2028)
TVO
Toronto, ON
- Full-time
Hands-on experience designing, implementing, and maintaining test automation frameworks and solutions using Playwright, Cypress, Selenium, or similar tools.
Added 1 hour ago
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System Integration & Test, Intermediate
General Dynamics Missions System International
Calgary, AB
- Full-time
At General Dynamics Mission Systems–Canada, we’re not just engineering technology - we’re shaping the future of defence and security. Our teams design and deliver advanced, mission-critical…
Added 1 hour ago
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Senior Solutions Engineer
ChapsVision
Montreal, QC
- Full-time
En tant qu’Ingénieur(e) principal(e) en solutions (Senior Solutions Engineer), vous agirez à titre de leader technique principal dans le cadre de nos mandats clients les plus stratégiques…
Added 1 hour ago
Test Automation Lead
Freedom Mobile
Toronto, ON
Drive an automation-first quality testing strategy and lead the design, implementation, and scaling of automation solutions across programs.
Added 1 hour ago
TG
Analyst, Market Insights Intern
TMX Group
Toronto, ON
- $25 to $29 CAD / hour
- Full-time
The Analyst, Market Insights Intern will be part data-scientist and part developer, with a keen curiosity about business. In this role, the Analyst will work at the intersection of business…
Added 1 hour ago
T
Senior Audit Manager, (Business Intelligence & Analytics)
TD
Toronto, ON
- Full-time
Oversee the design, development, and maintenance of dashboards and reporting solutions that support audit planning, audit execution, risk assessment, issue management, and strategic…
Added 1 hour ago
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Sr. Business Systems Analyst Specialist, TD Securities
TD
Toronto, ON
- Full-time
With more than 6,500 professionals operating out of 40 cities across the globe, we help clients meet their needs today and prepare for tomorrow. Our services include underwriting and…
Added 1 hour ago
RJ
Senior Manager, Marketing Intelligence and Effectiveness
Raymond James
Toronto, ON
- Full-time
Design and implement automation solutions to streamline data collection, analysis, and reporting.
Added 1 hour ago
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Analyst, Data Quality & Governance
Four Seasons Hotels and Resorts
Toronto, ON · Four Seasons Corporate Headquarters Toronto
- Full-time
Enhance data cataloguing and metadata practices ensuring datasets are properly structured, classified, governed, and discoverable to support analytics, automation, AI agents, and generative…
Added 1 hour ago
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Software Engineer -Data Processing Backend
Morningstar
Toronto, ON
- Full-time
At Morningstar, helping investors is what brings us together and drives our work. We are looking for a Software Engineer who’s an expert with C# .NET and SQL to join our team and grow with…
Added 2 hours ago
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Senior Software Developer, Tooling Team
MaintainX (An Autodesk Company)
Remote, Canada
- $131,000 to $195,000 CAD / year
- Full-time
- Remote
In August 2026 MaintainX became part of Autodesk, joining Autodesk Operations Solutions, the organization unifying Autodesk's operations platform alongside Tandem, FlexSim and Fusion…
Added 2 hours ago
O
Senior Technical Project Manager - Canada / Remote
OneReach.ai
Remote, Canada
- Full-time
- Remote
We're seeking a client-facing Technical Project Manager to drive successful delivery of complex automation projects and initiatives across technical, product, and customer teams. In this…
Added 2 hours ago
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Principal Telecommunications Engineer
Worley
Calgary, AB
- Full-time
Worley is a global company of energy, chemicals and resources experts headquartered in Australia. We partner with our customers to deliver projects and create value across the life of their…
Added 2 hours ago
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Principal Telecommunications Engineer
Worley
Sudbury, ON · Greater Sudbury, ON
- Full-time
Worley is a global company of energy, chemicals and resources experts headquartered in Australia. We partner with our customers to deliver projects and create value across the life of their…

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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