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Added 14 mins ago
A
Data Analytics Lead
Altis
Markham, ON
- $110,000 to $125,000 CAD / year
- Full-time
Our client, a well-established organization in the corporate sector, is seeking a Senior Data Engineer / Senior BI / Analytics Engineering Lead to design, build, and optimize scalable data…
Added 14 mins ago
ZS
Cloud Engineer
Zodiac Solutions, Inc
Montreal, QC
- Full-time
…scale across Microsoft Azure, AWS, and GCP. We are seeking a Senior Cloud Controls Engineer to contribute to cloud security research, Wiz run-time implementation engineering and cloud risk…
Added 29 mins ago
Mainframe Production Support Engineer
Capgemini
Toronto, ON
As a Senior Developer, you will be working in a development and support capacity on our core mainframe cards and transactions system.
Added 29 mins ago
M
Senior Full Stack Java Engineer
Miratech
ON · Ontario, CANADA
- Full-time
We are looking for a Senior Full Stack Engineer to design, develop, and support scalable cloud-native applications that power Workforce Management (WFM), Customer Experience (CX), and…
Added 29 mins ago
Senior Data Engineer
ZoomInfo Technologies LLC
Toronto, ON
The Senior Data Engineer is a core builder of the single source of truth that ZoomInfo's Corporate Strategy and GTM Strategy teams use to plan and track the business: pipeline created,…
Added 45 mins ago
II
Senior Data Scientist
Ipsos in Canada
Vancouver, BC
- $100,000 to $110,000 CAD / year
- Full-time
5+ years of professional experience as a data engineer
Added 45 mins ago
II
Senior Software Engineer
Ipsos in Canada
Vancouver, BC
- $100,000 to $110,000 CAD / year
- Full-time
5+ years of professional experience as a data engineer
Added 2 hours ago
P
Product Engineer, Mobile & UX
Pontosense
Toronto, ON
- Full-time
We're looking for a Product Engineer who loves building great software, cares about how people experience it, and is excited to push the boundaries of what's possible with AI. You'll work…
Added 2 hours ago
P
Product Engineer, Mobile & UX
Pontosense
Toronto, ON
- Full-time
We're looking for a Product Engineer who loves building great software, cares about how people experience it, and is excited to push the boundaries of what's possible with AI. You'll work…
Added 2 hours ago
ZF
Senior Infosec Engineer
Zerodha Fund House
NS · Richmond Road, NS
- Full-time
We are looking for a Senior Security Engineer to own security at ZFH. This is a foundational role. You will be the person who defines what security means here, sets the standards the rest…
Added 2 hours 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 2 hours ago
TE
Senior Roadway Design Engineer
Target Engineering Group
Toronto, ON
- $110,000 to $150,000 CAD / year
- Full-time
As a Senior Roadway Design Engineer, you will provide technical leadership and engineering expertise in the planning, design, and delivery of complex transportation infrastructure projects.…
Added 3 hours ago
E
Senior Go/Kubernetes Engineer - Core/Infra - Elasticsearch
Elastic
Canada
- Full-time
We are on the lookout for a Senior Kubernetes/Go Engineer to join our Elasticsearch team and focus on ensuring that the shared platform functionalities of Elasticsearch are easy to use,…
Added 3 hours ago
E
Senior Java Engineer - Core/Infra - Elasticsearch
Elastic
Canada
- Full-time
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale - unleashing the potential of businesses and people. The Elastic…
Added 3 hours ago
E
Senior Go/Kubernetes Engineer - Core/Infra - Elasticsearch
Elastic
Canada
- Full-time
We are on the lookout for a Senior Kubernetes/Go Engineer to join our Elasticsearch team and focus on ensuring that the shared platform functionalities of Elasticsearch are easy to use,…
Added 3 hours ago
E
Senior Java Engineer - Core/Infra - Elasticsearch
Elastic
Canada
- Full-time
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale - unleashing the potential of businesses and people. The Elastic…
Added 5 hours ago
RB
Senior Platform Automation Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Added 5 hours ago
E
Lead Mechanical Engineer
Englobe
Saskatoon, SK
- Full-time
Working closely with the Mechanical Team Lead to learn the responsibilities of the role with the intention that the Senior Mechanical Engineer will transstion to the role of the Mechanical…
Added 6 hours ago
BA
Senior Tunnel Engineer
Brierley Associates Corporation
NB · Chiasson Office, NB
- Full-time
Lead tunnel and other underground related design projects including planning, implementation, field data collection and oversight, data reporting, and writing interpretative reports.
Added 7 hours ago
A
Forward Deployed AI Engineer - Senior Manager
Accenture
Calgary, AB · Vancouver, BC · Ottawa, ON · Toronto, ON
- Full-time
This is not a consulting role. It is not a project delivery role. It is not a research position. A Forward Deployed AI Engineer is a production engineer who works embedded inside a client's…
Added 8 hours ago
WI
Computing Science Lecturer
Women In Machine Learning And Data Science, Mumbai
Burnaby, BC
- Full-time
…Analogous to tenure-track faculty, Lecturers can be promoted to Senior Lecturer and University Lecturer (equivalent to Full Teaching Professor) ranks, and they can apply for partially/fully…
Added 9 hours ago
Manager, Engineering
Toronto Hydro
Toronto, ON
Reporting to the Senior Manager, Grid Planning, the Manager, Engineering leads a team responsible for system studies, system planning, and grid modernization initiatives. The role provides…
Added 11 hours ago
GA
Solutions Engineer Intern
Geekplus America Inc
Markham, ON
- Internship
…robotics projects. Early in the internship, the focus will be on data analysis, CAD layout development, solution modifications, and developing practical AI-enabled tools. As the intern…
Added 12 hours ago
W
Graduate Process Engineer
Worley
Sarnia, ON
- Full-time
We are currently recruiting for a Junior Process Engineer. Our team includes world class experts and dynamic go-getters. This is a full-time position based in Sarnia, Ontario.
Added 12 hours ago
V
Engineer - Ground Control
Vale
Canada
- Full-time
We are currently seeking an Engineer, Geomechanics to join the Vale Base Metals CTO Geotechnical Office’s Geomechanics Studies team based in Sudbury, Ontario, Canada. This is a permanent…

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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