Toronto, On Ai finance Jobs – 2216 Openings This Week

Azure AI Engineer (AI-First Solutions)
Duka Intelligence Inc. —Mississauga, ON
- From $110,000 a year
- Full-time
- Azure
- DevOps
- SQL
- Dental care
Quick apply
5d
Quantitative Reasoning Analyst - AI Trainer
DataAnnotation —Vaughan, ON
- $50.00–$140.56 an hour
- Contract
- Remote
- Bilingual
- Doctoral degree
- Computer Science
- Flexible schedule
Quick apply
6d
Computational Chemist - AI Trainer
DataAnnotation —Toronto, ON
- $50.00–$140.56 an hour
- Contract
- Remote
- Bilingual
- Doctoral degree
- Computer Science
- Flexible schedule
Quick apply
6d
AI Training Specialist Quantitative - AI Trainer
DataAnnotation —Etobicoke, ON
- $50.00–$140.56 an hour
- Contract
- Remote
- Bilingual
- Doctoral degree
- Computer Science
- Flexible schedule
Quick apply
6d
AI Data Quality Specialist - AI Trainer
DataAnnotation —Greater Toronto Area, ON
- $50.00–$140.56 an hour
- Contract
- Remote
- Bilingual
- Doctoral degree
- Computer Science
- Flexible schedule
Quick apply
6d
Category Insights Analyst (Open to New Graduates)
Wonderbrands —Etobicoke, ON
- Microsoft Excel
- Engineering
- No experience needed
- Tuition reimbursement
Executive Assistant
OMERS —Toronto, ON
- $72,000–$108,000 a year
- Full-time
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Outlook
11d
Data Analyst
Docebo —Toronto, ON
- $54,100–$72,100 a year
- Full-time
- Hybrid work
- Computer Science
- Data analysis skills
- Finance
- Employee stock purchase plan
Financial Analyst
Toronto Hydro —Toronto, ON
- $80,487–$100,609 a year
- Hybrid work
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
- Disability insurance
- Dental care
Associate Financial Analyst
Toronto Hydro —Toronto, ON
- $65,941–$82,426 a year
- Hybrid work
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
- Disability insurance
- Dental care
Junior Financial Analyst
Yamaha Motor —North York, ON
- $60,000–$65,000 a year
- Overtime
- Microsoft Office
- Analysis skills
- Presentation skills
- Tuition reimbursement
AI Analyst
Royal Bank of Canada —Toronto, ON
- $55,000–$90,000 a year
- Full-time
- Computer Science
- Customer service
- Engineering
10d
New Grad: Business Analyst
CGI —Toronto, ON
- $50,000–$80,000 a year
- Finance
- SQL
- Bachelor's
Quick apply
9d
Summer 2027 Intern - Elevate/Data Science [UG/Masters]
Simon-Kucher & Partners —Toronto, ON
- $40 an hour
- Full-time
- Marketing
- English
- Finance
6d
Systems Business Analyst Intern
TMX Group Limited —Toronto, ON
- $25–$28 an hour
- Full-time
- Hybrid work
- Microsoft Excel
- Computer Science
- Finance
10d
Administrative Assistant, Finance
Healthcare of Ontario Pension Plan (HOOPP) —Toronto, ON
- $58,000–$91,000 a year
- Full-time
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
- Dental care
IT Services Consultant (GTA)
Konica Minolta Business Solutions, U.S.A., Inc. —Mississauga, ON
- $71,469.39–$102,737.00 a year
- Full-time
- Remote
- Sales
- Business development
- Presentation skills
- Dental care
- Paid time off
Senior Software Engineer
Tactable —Toronto, ON
- $140,000–$190,000 a year
- Full-time
- Hybrid work
- Azure
- English
- Java
- Disability insurance
- Dental care
Quick apply
Manager, Supplier Management
Scotiabank —Toronto, ON
- Bachelor's
- Negotiation
SAP Analyst - FI/CO & SD
Polytainers, Inc. —Toronto, ON
- Full-time
- Customer service
- Presentation skills
- Bachelor's
Quick apply
5d

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ai finance jobs near toronto, on

Azure AI Engineer (AI-First Solutions)

Duka Intelligence Inc.
Mississauga, ON

Quick apply

Job details

Permanent | Full-time
From $110,000 a year
5 days ago

Qualifications

Azure
DevOps
Financial reporting
Enterprise architecture
SQL
Analysis skills
Machine learning
SharePoint
GitHub
APIs
Metadata
SaaS
AI
Python

Full job description

Duka Intelligence Inc. is currently seeking a Azure AI Engineer (AI‑First Solutions)

Company Overview

Duka Intelligence Inc. (“Company”) is a growing digital advertising and technology company focused on connecting local businesses with residential condominium communities through innovative in-building digital advertising platforms.

Our mission is to help businesses increase local visibility while delivering modern communication and advertising solutions within condominium environments. Through strategic partnerships, technology-driven platforms, and community-focused marketing initiatives, we aim to create meaningful connections between businesses and residents across the Greater Toronto Area.

Position Summary

The Azure AI Engineer is responsible for designing, developing, and implementing AI‑First solutions using Microsoft ecosystem and Azure cloud platform. This includes multi‑agent workflows, retrieval‑augmented generation (RAG) pipelines, AI copilots, and intelligent automation supporting Property Management operations.

This role requires strong Azure AI engineering capabilities combined with solid Azure AI Data foundations to support early proof‑of‑concept (POC) development. The engineer will work under the architectural direction of the Principal Solutions Architect and contribute to establishing the initial AI platform, patterns, and data structures.

Key Responsibilities

AI‑First Solution Development

· Develop AI‑First solutions using Azure AI Foundry, Azure OpenAI, Semantic Kernel, and Azure Functions.

· Implement multi‑agent workflows, RAG pipelines, AI copilots, and intelligent automation.

· Build domain‑specific AI capabilities for maintenance, finance, compliance, and tenant services.

· Integrate AI solutions with Microsoft ecosystem components (Dynamics 365, Power Automate, SharePoint, Teams) and other enterprise and external software products.

Azure AI Data Foundations

· Build and maintain early-stage data ingestion pipelines using Azure Data Factory, Synapse, or Fabric Dataflows.

· Prepare structured and unstructured data for AI workloads (chunking, metadata, embeddings, normalization).

· Create and manage Azure AI Search indexes and vector stores.

· Implement initial data governance practices (Purview, lineage, metadata standards).

Collaboration & Architecture Alignment

· Work closely with the Principal Solutions Architect to ensure all solutions align with enterprise architecture, security, and compliance requirements.

· Participate in design reviews, solution planning, and architectural discussions.

· Provide engineering feedback to support refinement of AI‑First patterns and platform components.

Deployment & Operationalization

· Deploy AI workloads using Azure ML, Azure DevOps, and GitHub Actions.

· Implement monitoring, evaluation, and performance tracking for AI systems.

· Establish early CI/CD patterns for AI solution delivery.

Required Qualifications

Education & Experience

· 3–5 years of experience in AI engineering, applied machine learning, or cloud engineering.

· Experience delivering AI solutions within the Microsoft Azure ecosystem.

Technical Skills

· Proficiency with:

-Azure AI Foundry

-Azure OpenAI (GPT‑4o, GPT‑4.1, o‑series models)

-Azure AI Search (vector and hybrid search)

-Azure Functions, Container Apps, App Services

-Azure ML (pipelines, registries, monitoring)

-Python (FastAPI, Pydantic, Semantic Kernel or LangChain patterns)

Data Foundations

· Experience with Azure Data Factory, Synapse, or Fabric.

· Ability to build ingestion pipelines for files, APIs, SQL, and SaaS systems.

· Strong SQL skills and understanding of schema design.

· Familiarity with data governance tools (Purview).

Soft Skills

· Strong analytical and problem‑solving abilities.

· Ability to work independently as the first AI engineering resource.

· Effective communication with technical and non‑technical stakeholders.

· High level of ownership and accountability.

Preferred Qualifications

Experience with different Property Management systems.
Knowledge of leasing, maintenance, tenant communication, and financial reporting workflows.
Microsoft certifications (AI‑102, DP‑100, AZ‑204, AZ‑900).

Success Indicators

Delivery of end‑to‑end POCs using both AI engineering and data foundations.
Establishment of scalable data patterns for future AI roles.
Implementation of AI‑First solutions that improve operational efficiency.
Consistent alignment with architectural direction and enterprise standards.

Application Process:

Applicants are invited to submit a résumé and cover letter outlining how their skills, experience, and qualifications align with the requirements of the position.

Compensation for this position is determined based on skills, experience, and qualifications and falls within the posted range.

This posting represents a current vacancy. Interviews may begin as early as suitable candidates are identified.

Our organization is committed to fostering an inclusive and diverse workplace and encourages applications from all qualified individuals. In accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code, accommodations are available throughout the recruitment and selection process. Applicants requiring accommodation may contact Human Resources at any stage of the process.

Please note that elements of the recruitment process may involve the use of automated or artificial intelligence–based tools to support candidate screening or evaluation. All hiring decisions are subject to review by qualified personnel.

Applicants who are interviewed will be notified of the outcome of the recruitment process within a reasonable timeframe following the final interview, in accordance with the Employment Standards Act, 2000.

Interviews will begin as early as suitable candidates are identified. We thank all applicants in advance for their interest; however, only those invited to an interview will be contacted.

Pay: From $110,000.00 per year

Benefits:

Dental care
On-site parking

Application question(s):

How many years of experience in AI engineering, applied machine learning, or cloud engineering do you have?
Do you have experience delivering AI solutions within the Microsoft Azure ecosystem?
Do you have proficiency with:

o Azure AI Foundry
o Azure OpenAI (GPT 4o, GPT 4.1, o series models)
o Azure AI Search (vector and hybrid search)
o Azure Functions, Container Apps, App Services
o Azure ML (pipelines, registries, monitoring)
o Python (FastAPI, Pydantic, Semantic Kernel or LangChain patterns)

Do you have experience with Azure Data Factory, Synapse, or Fabric.
Ability to build ingestion pipelines for files, APIs, SQL, and SaaS systems.
Strong SQL skills and understanding of schema design.
Familiarity with data governance tools (Purview).

Do you have:
Experience with different Property Management systems.
Knowledge of leasing, maintenance, tenant communication, and financial reporting workflows.
Microsoft certifications (AI 102, DP 100, AZ 204, AZ 900).

Work Location: In person

Quick apply

Refine Your Search

ai finance jobs in toronto, on

Azure AI Engineer (AI-First Solutions)

Quantitative Reasoning Analyst - AI Trainer

Computational Chemist - AI Trainer

AI Training Specialist Quantitative - AI Trainer

AI Data Quality Specialist - AI Trainer

Category Insights Analyst (Open to New Graduates)

Executive Assistant

Data Analyst

Financial Analyst

Associate Financial Analyst

Junior Financial Analyst

AI Analyst

New Grad: Business Analyst

Summer 2027 Intern - Elevate/Data Science [UG/Masters]

Systems Business Analyst Intern

Administrative Assistant, Finance

IT Services Consultant (GTA)

Senior Software Engineer

Manager, Supplier Management

SAP Analyst - FI/CO & SD

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