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Added 4 mins ago
NC
Junior Solutions Architect (2 positions)
NAV CANADA
Ottawa, ON
- Full-time
…impact assessments, system design, system performance, system integration, system safety, system security design and strategic system enhancement…
Added 4 mins ago
Head of Data Engineering
Ambyint
Calgary, AB
Establish enterprise DataOps standards, continuous integration/deployment (CI/CD) pipelines, and rigorous engineering practices.
Added 19 mins ago
Senior Manager Development, Treasury Technology
Scotiabank
Toronto, ON
Ensure seamless integration across Treasury platforms, risk systems, data platforms, middleware, and enterprise services.
Added 19 mins ago
JG
Adobe CDP Architect
J&M Group
Vancouver, BC
- Full-time
Enterprise data integration across batch, streaming, APIs, and event-based sources
Added 34 mins ago
BT
Private Enterprise Manager
Baker Tilly Canada
Dartmouth, NS
- Full-time
We are looking for a Private Enterprise Manager to join our team - a role where your expertise will drive meaningful outcomes and your ambition will help shape what comes next. Here, you’ll…
Added 34 mins ago
MC
Oracle QA Analyst
MatchBox Consulting Group
Vancouver, BC
- Contract
Perform functional, integration, system, and regression testing;
Added 34 mins ago
FS
Lead Java Developer
Futran Solutions
Toronto, ON
- Contract
Define end-to-end architecture for enterprise applications and integration platforms.
Added 34 mins ago
JA
AI Intern, Supply Chain (Winter 2027, 12months)
JR Automation
Toronto, ON
- $23 to $30 CAD / hour
- Full-time
Exposure to supply chain operations and enterprise systems.
Added 34 mins ago
BR
Senior Product Manager
BITS Recruiting
Toronto, ON
- Contract
Senior-level product management experience delivering complex digital health, enterprise integration, or enterprise application products.
Added 49 mins ago
L
Senior BI Platform Operations Engineer
Luxoft
Toronto, ON
- Full-time
…administration, maintenance, and technical troubleshooting for our enterprise Business Intelligence platforms and associated AWS…
Added 49 mins ago
CC
Senior Data Architect/Modeller- RQ11485 (CANADA) - Hybrid
Computer Consultants International, Inc.
Toronto, ON
- Contract
Work with related IT initiatives as required to align with the enterprise data modeling standards and requirements.
Added 1 hour ago
C
Senior Consultant, Control Optimization & Analytics
CIBC
Toronto, ON
- Full-time
…new analytics products that prompt timely action to support enterprise-wide change…
Added 1 hour ago
O
Senior Agentic AI Developer
OSEDEA
Montreal, QC
- Full-time
We're looking for a Senior Agentic AI Developer who can turn these capabilities into reliable, production-ready solutions for our clients.
Added 1 hour ago
O
Fullstack developer, agentic specialist
OSEDEA
Montreal, QC
- Full-time
We're looking for an Agentic AI Developer who enjoys building software, experimenting with emerging technologies, and turning ideas into working solutions.
Added 1 hour ago
C
Sr. Consultant, Data Platform DevOps
CIBC
Toronto, ON
- Full-time
…technology roadmaps that align with business objectives and enterprise direction. Lead multiple complex technology initiatives while advancing consistency, innovation, and operational…
Added 1 hour ago
C
Sr. Consultant, Back End Developer- Java
CIBC
Toronto, ON
- Full-time
…CIBC’s digital transformation, successfully delivering complex, enterprise-scale cloud based applications involving multiple back-end systems. As a Sr. Consultant, Back End Developer- Java,…
Added 1 hour ago
GM
Senior Software Developer - CI/CD and Software Development Tools
General Motors
Markham, ON
- Full-time
…platforms, providing integrated virtual workspaces, seamless integration with test environments, accelerated build and test workflows, and continuous visibility into software quality for…
Added 1 hour ago
QA Architect
Konrad
Toronto, ON
…You have hands-on experience designing, building, and scaling enterprise-grade automated testing frameworks, quality paradigms, and continuous testing ecosystems in a cross-functional…
Added 1 hour ago
NI
Solutions Architect - Java
Nityo Infotech
Toronto, ON
- Contract
Define end-to-end architecture for enterprise applications and integration platforms.
Added 2 hours ago
T
IT Operations Analyst II
TD
Toronto, ON
- Full-time
The Enterprise Environment Surveillance Team is responsible for providing front line monitoring and support of mission critical, client server based applications (EasyWeb, WebBroker,…
Added 2 hours ago
SL
AVP, Technology Lead - Digital
Sun Life
Toronto, ON · Waterloo, ON · Montreal, QC · Sun Life Toronto One York
- Full-time
…assets are resilient, scalable, secure, reusable, and aligned to enterprise…
Added 2 hours ago
Engineering Manager, Terminal Enterprise Features
Stripe
Toronto, ON
…start internet businesses from anywhere, builds world-class, developer-friendly APIs, and more. Stripe’s engineering teams build the business logic that powers all of this. As a software…
Added 2 hours ago
Senior AI Engineer, IT Solutions 1 1
Celestica International LP
Toronto, ON
Collaborate with data engineers to ensure scalable, secure, and compliant data flows between enterprise systems and AI models.
Added 2 hours ago
WU
Senior Systems Analyst (PeopleSoft HCM)
Western University
London, ON
- Full-time
…role responsible for defining, overseeing, and advancing the enterprise applications that support Human Resources services at Western. With primary accountability for PeopleSoft Human…
Added 2 hours ago
P
Senior Software Developer in Test | Ingénieur·e logiciel senior en test
Plotly
Remote, Canada
- Full-time
- Remote
Dash Enterprise is our commercial platform: it lets organizations deploy, scale, secure, and govern those applications inside their own Kubernetes clusters, on-prem or in their private…

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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