Jobs in Ontario

Jobs across Ontario, Canada. Choose a city or town to search nearby.

179,308 listings · 19,656 employers Counted Oct 29, 2026. How we count

About these jobs

Employers hiring include Loblaw Companies Limited (4,641 listings), Shoppers Drug Mart (3,605 listings), Walmart Canada (2,882 listings).

Common roles: Retail sales associate, Practical nurse, Project manager.

29,699 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Advertised starting pay
Pay period	Median starting pay	Listings
CAD / hour	23.00	15,457
CAD / year	80,000.00	11,731
USD / year	100,000.00	730
USD / hour	20.00	601
CAD / month	4,304.00	44
CAD / week	937.50	28
CAD / day	28.00	11

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Workplace classifications: 0% remote, 17% hybrid, 82% on-site, 0% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Jobs in Ontario

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Added 4 hours ago
CI
Supervisor (Part Time)
Carters Inc.
Ottawa, ON
- Part-time
Added 4 hours ago
CO
Job ID #32326: Project Manager, Hamilton Water Facilities
City of Hamilton
Hamilton, ON
- Full-time
- Temporary
Added 4 hours ago
CO
JOB ID #32325: Storefront Clerk (Part Time)
City of Hamilton
Hamilton, ON
- Part-time
- Temporary
Added 4 hours ago
VI
Project Manager - IMA
Veriday Inc.
Mississauga, ON
- Contract
Added 4 hours ago
MS
Videographer
McMasters Student Union
Hamilton, ON
- Part-time
Added 4 hours ago
B
Vice President, ETF Algo Engineer
BMO
Toronto, ON
- Full-time
Added 4 hours ago
BU
Conference Support Coordinator
Brock University
St. Catharines, ON
- Part-time
Added 4 hours ago
Sexual and Gender Based Violence Response Advisor
George Brown Polytechnic
Toronto, ON
Added 4 hours ago
B
Senior Business Analyst, Loan Servicing Technology
BMO
Toronto, ON
- Full-time
Added 4 hours ago
Industrial Millwright 433A
Smurfit Westrock
Guelph, ON
Added 4 hours ago
CG
Security Guard - Spare - Markham
Commissionaires Great Lakes
Markham, ON
- Part-time
Added 4 hours ago
W
Project Manager, Municipal Planning
WSP
Toronto, ON
- Full-time
Added 4 hours ago
IT
Internal Program Manager
Integrity Tool & Mold Inc
Oldcastle, ON
- Full-time
Added 4 hours ago
AC
Full-Time Professor, Paramedic & Advanced Care
Algonquin College
Ottawa, ON
- Full-time
Added 4 hours ago
District Sales Manager
Moov Pool Products
Toronto, ON
Added 4 hours ago
4A
Automotive Sales Person - Ottawa
401 Auto
Ottawa, ON · Kanata, Ontario
- Full-time
Added 4 hours ago
FT
Part-Time Professor-Protection, Security, and Investigation Program
Fanshawe Toronto@ILAC
London, ON
- Part-time
Added 4 hours ago
A
Reset Merchandiser
Acosta
Toronto, ON
- Part-time
Added 4 hours ago
EM
Production Microscope Soldering Technician - Internal Failure Analysis Department
Evertz Microsystems Limited
Burlington, ON
- Full-time
Added 4 hours ago
B
MAC (Move, Add, Change) Coordinator
BGIS
Ottawa, ON
- Full-time
Added 4 hours ago
4
Sr. Manager - Business Development – Defence Systems
49North
Ottawa, ON
- Full-time
Added 4 hours ago
Senior Software Developer
Range Group - Job Postings
Toronto, ON
Added 4 hours ago
BH
Registered Nurse, Complex Care
Bruyère Health
Ottawa, ON
- Full-time
Added 4 hours ago
LC
Merchandiser, Hourly Part Time Day
Loblaw Companies Limited
Toronto, ON
- Part-time
Added 4 hours ago
LC
Merchandiser, Hourly Part Time Day
Loblaw Companies Limited
Toronto, ON
- Part-time

Fortiv Technical Inc.

Artificial Intelligence Engineer

Toronto, ON, Canada
Greater Toronto Area, Canada, Canada

Apply About employer

Applications open in a new tab.

Job details

Apply by: Nov 27, 2026
Posting language: English
Posted: Oct 28, 2026

Original job description

Onsite 3 days/week

About the role

A leading financial services institution is growing its AI practice and is looking for an AI Engineer to design, build and run production AI solutions on Azure and Databricks. You will take generative AI and machine learning use cases from prototype to production, with the reliability, monitoring and governance a regulated enterprise requires.

Key responsibilities

Design, build and deploy generative AI solutions on Azure AI Foundry, including RAG patterns, agents, prompt flows and model evaluation.
Establish and run LLMOps practices: prompt and model versioning, evaluation pipelines, guardrails, content safety, cost and latency monitoring.
Build and maintain MLOps pipelines for training, deployment, monitoring and retraining of machine learning models.
Develop and configure Databricks Genie spaces so business users can query governed data in natural language, including curating instructions, sample queries and trusted assets.
Work with data engineering teams on Databricks (Delta Lake, Unity Catalog, MLflow) to prepare and govern the data AI solutions depend on.
Partner with business stakeholders, product owners and risk teams to turn use cases into secure, compliant solutions.
Apply responsible AI practices, including model risk management, explainability, data privacy and audit requirements.
Contribute to the practice's reusable patterns, standards and engineering best practices.

Required qualifications

5+ years in software, data or machine learning engineering, including at least 2 years delivering generative AI or LLM solutions in production.
Hands-on experience with Azure AI Foundry and Azure OpenAI Service.
Proven LLMOps and MLOps experience, including CI/CD for models, evaluation, monitoring and drift detection.
Practical experience with Databricks, including MLflow and Unity Catalog; experience configuring Databricks Genie (AI/BI Genie).
Strong Python skills and solid SQL.
Experience with Azure services such as Azure AI Search, Azure Machine Learning, Azure Functions and Key Vault.
Experience with CI/CD tooling such as Azure DevOps or GitHub Actions.
Strong communication skills and comfort working with business and technical audiences.

Nice to have

Experience in banking, insurance or other regulated financial services.
Familiarity with agent frameworks such as Semantic Kernel, LangChain or LangGraph.
Microsoft certifications such as Azure AI Engineer Associate (AI-102); Databricks Machine Learning or Generative AI Engineer certification.

Apply About employer

More about this job

Responsibilities

Design, deploy, and operate production generative AI and machine learning solutions on Azure and Databricks, including RAG, agents, Genie spaces, and LLMOps/MLOps pipelines. Partner with data, business, product, and risk teams to deliver secure, governed, and compliant solutions while advancing reusable engineering practices.

Requirements

Requires 5+ years of software, data, or machine learning engineering experience, including at least 2 years delivering production generative AI or LLM solutions. Candidates need hands-on Azure AI Foundry, Azure OpenAI, Databricks, LLMOps/MLOps, Python, SQL, Azure services, and CI/CD experience, along with strong communication skills.

Skills

Generative AI
Azure AI Foundry
Azure OpenAI Service
LLMOps
MLOps
Databricks
MLflow
Unity Catalog
Databricks Genie
Python
SQL
Azure AI Search
Azure Machine Learning
CI/CD
Model Evaluation
Responsible AI

Visa sponsorship

Not detected in the job text

Keywords

Azure AI Foundry
Azure OpenAI Service
Generative AI
Large Language Models
Retrieval-Augmented Generation
AI Agents
Prompt Flows
LLMOps
MLOps
Model Evaluation
Guardrails
Content Safety
Databricks
Databricks Genie
Delta Lake
Unity Catalog
MLflow
Python
SQL
Azure AI Search
Azure Machine Learning
Azure Functions
Azure Key Vault
Azure DevOps
GitHub Actions
CI/CD
Model Risk Management
Responsible AI
Semantic Kernel
LangChain

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