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Added 4 days ago
ES
Audio Artist II - FC
EA SPORTS
Toronto, ON
- Temporary
Basic knowledge of code or scripting language (C#, C++, SQL, Python, Lua, etc.)
Added 4 days ago
SI
Business Intelligence Analyst
Spait Infotech
Canada
- Full-time
Write and optimize SQL queries to retrieve, manipulate, and analyze large datasets.
Added 4 days ago
ES
Audio Artist III - FC
EA SPORTS
Vancouver, BC
- Temporary
Knowledge of code or scripting language (C#, C++, SQL, Python, Lua, etc.)
Added 4 days ago
ES
Audio Artist III - FC
EA SPORTS
Toronto, ON
- Temporary
Knowledge of code or scripting language (C#, C++, SQL, Python, Lua, etc.)
Added 4 days ago
BI
Manager, Pension Risk Transfer (PRT) Modelling & Analytics
BMO Insurance
Toronto, ON
- Full-time
Experience with actuarial programming, modelling and data analytics tools (e.g. SQL, R, Python, Power BI) is considered an asset.
Added 4 days ago
IC
Python Developer
IT Connex
Toronto, ON · Greater Toronto Area, Canada
- Contract
Design, develop, test, and support Python-based applications and services.
Added 4 days ago
ES
Audio Artist II - FC
EA SPORTS
Vancouver, BC
- Temporary
Basic knowledge of code or scripting language (C#, C++, SQL, Python, Lua, etc.)
Added 4 days ago
N(
Data and Insights Analyst
NAIT (Northern Alberta Institute of Technology)
AB · Edmonton, AB
- Full-time
Advanced skills with business intelligence tools such as PowerBI/DAX, SQL Server and Excel
Added 4 days ago
MM
Support Specialist - AI Applications
Marsh McLennan
Toronto, ON
- Full-time
2 years of experience in AI application support, monitoring with DataDog and Langsmith toolsHands-on support and development experience with one or more of: MEAN/MEARN stack, PostgreSQL, MS…
Added 4 days ago
C
Stagiaire en développement logiciel - Software developer Intern/Co-op
Ciena
Quebec, QC
- Full-time
Connaissance d’un ou de plusieurs des langages suivants : Python, SQL, C#.
Added 4 days ago
B
Manager, Pension Risk Transfer (PRT) Modelling & Analytics
BMO
Toronto, ON · YNG
- Full-time
Experience with actuarial programming, modelling and data analytics tools (e.g. SQL, R, Python, Power BI) is considered an asset.
Added 4 days ago
T
Program Manager, Carrier Operations & Governance
Twilio
Remote, Canada
- Full-time
- Remote
Strong analytical proficiency using data tools (Excel/Google Sheets, SQL, or Looker) to measure performance and policy compliance.
Added 4 days ago
RC
Supervisor, Data Architect
RSM Canada
Toronto, ON
- Full-time
…instill confidence in a world of change, empowering our clients and people to realize their full potential. Our exceptional people are the key to our unrivaled, inclusive culture and talent…
Added 4 days ago
W
Senior Specialist, Item File (SQL/Python)
Walmart
Mississauga, ON
- Full-time
The successful candidate will leverage SQL, VBA, Python, Power Platform, reporting tools, and emerging AI technologies to build productivity solutions, automate workflows, enhance data…
Added 4 days ago
Senior AI Engineer, IT Solutions 1 1 1
Celestica International LP
Toronto, ON
Advanced proficiency in Python and relevant libraries (NumPy, Pandas, PyTorch, or TensorFlow).
Added 4 days ago
NA
Data and Insights Analyst
Northern Alberta Institute of Technology
St. Catharines, ON · Main Campus
- Full-time
Advanced skills with business intelligence tools such as PowerBI/DAX, SQL Server and Excel
Added 4 days ago
HI
Senior Data Science Developers
HRbrain Inc.
Toronto, ON
- Full-time
The candidate must demonstrate their experience with automating data pipelines using appropriate Microsoft Azure Platform/Technologies (SQL,Python, Databricks and Azure Data Factory)
Added 4 days ago
M
Senior Software Engineer-C#
Morningstar
Toronto, ON
- Full-time
Experience with supporting technologies: Databases (SQL Server, AWS Aurora, MySQL, Postgres, NoSQL), Python, REST API’s
Added 4 days ago
K
Data Engineer
Kindsight
Remote, Canada
- $120,000 to $135,000 CAD / year
- Full-time
- Remote
Write and optimize advanced SQL for transformation, aggregation, and data quality validation across large, multi-tenant datasets.
Added 4 days ago
UO
Systems Administrator & Business Analyst
University of Niagara Falls Canada
Niagara Falls, ON
- $90,000 to $110,000 CAD / year
- Full-time
Officially opening its doors in 2024, the University of Niagara Falls Canada (UNF) is an innovative and digitally oriented institution that prepares graduates for leadership in the digital…
Added 4 days ago
HI
Intermediate Data Analyst
HRbrain Inc.
Toronto, ON
- Full-time
Proficiency in SQL for querying and manipulating large datasets.
Added 4 days ago
B
AI Software Engineer
Bombardier
Dorval, QC
- Full-time
Strong proficiency in Python, SQL, React, JavaScript/TypeScript, PySpark, REST APIs and full-stack integration.
Added 4 days ago
SC
Développeur Python IA (Senior)
SII Canada
Montreal, QC
- Full-time
As part of its artificial intelligence initiatives, we are looking for an experienced Python, AI/ML and Generative AI professional to contribute to the design, development, integration and…
Added 4 days ago
D
Python Developer
Dexian
Mississauga, ON
- Other
This is a development position within the Technology organization responsible for building and supporting modern software solutions leveraging Python, microservices, APIs, event-driven…
Added 4 days ago
EC
Reliability Manager
Electricity Canada
Ottawa, ON
- $75,000 to $80,000 CAD / year
- Contract
Electricity Canada is the voice for safe, secure, and sustainable electricity. Our vision is to be the best trade association. Electricity Canada members generate, transmit, and distribute…

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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