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Data Science Intern
Plusgrade
Toronto, ON · CAN - Toronto
- Full-time
Working alongside data scientists, ML engineers, and data engineers under the guidance of the Senior Manager of Data Science, you will build and ship the developer tools and observability…
Added just now
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Applied AI Engineer Intern
Plusgrade
Toronto, ON · CAN - Toronto
- Full-time
Working closely with a senior mentor, you will build and operate the production inference services that serve machine learning models across our partner ecosystem in real time. Your day to…
Added 1 min ago
BT
Cloud Security Controls Engineer
BULL TECHNICAL SERVICES LIMITED
Montreal, QC
- Full-time
…the use of cloud services at scale across Microsoft Azure, AWS, and GCP. We are seeking a Senior Cloud Controls Engineer to contribute to cloud security research, Wiz run-time…
Added 30 mins ago
DR
Senior Platform Software Engineer – Frontend
DSI Recruiting
Toronto, ON
- $135,000 to $160,000 CAD / year
- Full-time
Our client is seeking a hands-on Senior Platform Software Engineer (Frontend) to build the shared web foundation for a next-generation enterprise application platform. The role develops the…
Added 30 mins ago
DR
Senior Platform Software Engineer – Backend
DSI Recruiting
Toronto, ON
- $130,000 to $160,000 CAD / year
- Full-time
Our client is seeking a hands-on Senior Platform Software Engineer (Backend) to implement shared cloud-native services and reusable .NET SDKs for a next-generation enterprise application…
Added 30 mins ago
ME
Full Stack Engineer
Morson Edge (Canada)
Oshawa, ON · Greater Oshawa Metropolitan Area
- Contract
The Senior Software Engineer Developer leads software application development, mentoring developers, and translating business needs into technical solutions. It focuses on improving system…
Added 31 mins ago
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Senior Full Stack Engineer
BorderPass
Toronto, ON
- Full-time
Senior Full-Stack Engineer (React/Node/Postgres/AWS)
Added 1 hour ago
ZS
Data Governance Manager
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Strong knowledge of data architecture, data modeling, ETL/ELT, APIs, batch/streaming pipelines, SQL and cloud data platforms such as Azure, AWS, Databricks or Snowflake.
Added 1 hour ago
2I
Sr. Developer - React/.net/Azure
2iSolutions Inc.
Oshawa, ON
- $90 to $95 CAD / hour
- Contract
The Senior Software Engineer Developer leads software application development, mentoring developers, and translating business needs into technical solutions. It focuses on improving system…
Added 1 hour ago
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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 1 hour ago
ZS
Cloud Engineer
Zodiac Solutions, Inc
Montreal, QC
- Full-time
…the use of cloud services at scale across Microsoft Azure, AWS, and GCP. We are seeking a Senior Cloud Controls Engineer to contribute to cloud security research, Wiz run-time…
Added 1 hour ago
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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 1 hour 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 1 hour ago
II
Senior Data Scientist
Ipsos in Canada
Vancouver, BC
- $100,000 to $110,000 CAD / year
- Full-time
…using cloud-based platforms, like Google Cloud Services and AWS, to build and maintain serverless data pipelines to efficiently process and warehouse large scale datasets. The role also…
Added 1 hour ago
II
Senior Software Engineer
Ipsos in Canada
Vancouver, BC
- $100,000 to $110,000 CAD / year
- Full-time
…using cloud-based platforms, like Google Cloud Services and AWS, to build and maintain serverless data pipelines to efficiently process and warehouse large scale datasets. The role also…
Added 2 hours ago
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Senior IVR Developer (Amazon Connect)
Bevertec
Toronto, ON
- Contract
Job Title: Senior IVR Developer (Amazon Connect)
Added 4 hours ago
MH
Sr. Platform Engineer
MedMe Health
Remote, Canada
- $116,000 to $156,000 CAD / year
- Full-time
- Remote
…that builds and owns the platform everything else sits on: our AWS infrastructure, deployment pipelines, observability, and the security controls that let us operate credibly in a HIPAA and…
Added 5 hours ago
MM
Oliver Wyman - Senior Lead AI Developer
Marsh McLennan
Toronto, ON · Montreal, QC
- Full-time
…deliver unique and unprecedented products across industries. As a Senior Lead AI Developer, you are primarily responsible for managing technical projects and helping teams design and build…
Added 6 hours ago
RB
Senior Platform Automation Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Design and implement observability-as-code solutions across AWS, Azure, and OpenShift Container Platform (OCP) using Terraform and infrastructure-as-code practices.
Added 8 hours ago
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IT Project Coordinator (Infrastructure)
HCLTech
Brampton, ON
- $74,000 to $83,000 CAD / year
- Full-time
Ability to collaborate effectively with cross-functional teams and senior stakeholders.
Added 14 hours ago
AI
Lead Consultant
Atlantis IT Group
Canada
- Contract
Expert knowledge in public (AWS, Azure) and private cloud implementations
Added 14 hours ago
HI
Sr. Data Engineer
HRbrain Inc.
Toronto, ON
- Full-time
We are looking for a Senior Data Engineer to joint their Data & Analytics team within Data & Technology team, reporting directly to the Director of Data & Analytics.
Added 14 hours ago
I
Senior DevOps Engineer
iCOUNTER
Remote, Canada
- $136,000 to $170,000 CAD / year
- Full-time
- Remote
…architecting scalable, secure cloud environments, primarily on AWS; maintaining network designs that balance performance and security; leading the evolution of our CI/CD pipelines; and…
Added 15 hours ago
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Staff Information Security Engineer - Threat Detection & Response
Visier
Remote, Canada
- Full-time
- Remote
This senior technical IC role owns Visier’s threat detection and response capabilities end-to-end - driving the overarching strategy, tooling engineering, detection content, and incident…
Added 15 hours ago
B
Senior Software Developer
Botpress
Montreal, QC
- Full-time
As a Senior Software Developer at Botpress, you’ll be at the forefront of developing innovative solutions that drive the future of conversational AI. As a senior member of the engineering…

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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