toronto, on agentic ai Jobs – 694 Openings This Week

AI PRACTITIONER
ONT.COLLEGE OF TEACHERS —Toronto, ON
- $88,806–$102,253 a year
- Full-time
- Azure
- Computer Science
- SQL
Quick apply
1d
Data Scientist
Sanofi EU —Toronto, ON
- $94,700.00–$136,766.66 a year
- Azure
- Computer Science
- English
Technology Lead - GenAI Lead
Infosys —Mississauga, ON
- $92,740–$123,375 a year
- Azure
- Computer Science
- DevOps
Quick apply
Staff AI Engineer
Tangerine Bank —Toronto, ON
- Schematics
- Machine learning
- APIs
Lead Agentic AI Engineer – VP (Mississauga)
Citi —Mississauga, ON
- $120,800–$170,800 a year
- Full-time
- Azure
- Oracle
- Java
1d
Senior Data Scientist
MCKESSON —Mississauga, ON
- $89,700–$149,500 a year
- SQL
- APIs
- AI
Senior AI Engineer – Vice President
Citi —Mississauga, ON
- $120,800–$170,800 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- Research
1h
Lead Scientist - Applied ML
Canadian Tire Corporation, Ltd. —Toronto, ON
- $79,000–$131,000 a year
- Full-time
- SQL
- In-person
- Python
- Store discount
- Profit sharing
Quick apply
Patient Experience iCare Exchange Snowflake Engineer
Sanofi EU —Toronto, ON
- $93,900.00–$135,633.33 a year
- English
- Master's degree
- SQL
Senior Java Engineer – Agentic AI Driven Development - Senior Vice President
Citi —Mississauga, ON
- $145,100–$217,700 a year
- Full-time
- Oracle
- DevOps
- Java
1d
Senior Java Engineer – Agentic AI Driven Development - Vice President
Citi —Mississauga, ON
- $120,800–$170,800 a year
- Full-time
- Oracle
- DevOps
- Java
1d
Senior Software Engineer, CMS (Auto Repossession & Remarketing)
AutoTrader.ca —Toronto, ON
- $140,000–$190,000 a year
- DevOps
- System design
- AI
- Employee assistance program
6d
Senior Platform Engineer
AutoTrader.ca —Toronto, ON
- $130,000–$160,000 a year
- On call
- DevOps
- AWS
- APIs
- Employee assistance program
1d
Senior Enterprise Operations Solutions Specialist
CAAT Pension Plan —Toronto, ON
- $107,000–$133,700 a year
- Full-time
- Computer Science
- Salesforce
- Engineering
- Wellness program
Quick apply
6d
Senior Security Architect
CAAT Pension Plan —Toronto, ON
- $125,000–$157,200 a year
- Full-time
- Azure
- Computer Science
- AWS
- Wellness program
Quick apply
Senior Software Engineer, CMS (Auto Repossession & Remarketing)
autoTRADER.ca —Toronto, ON
- $140,000–$190,000 a year
- DevOps
- System design
- AI
- Employee assistance program
6d
Staff AI Platform Engineer
Tangerine Bank —Toronto, ON
- Computer science
- Azure
- Computer Science
Senior AI Engineer
Tangerine Bank —Toronto, ON
- Schematics
- Machine learning
- APIs
Salesforce Technical Consultant
iVedha Inc. —Toronto, ON
- Temporary
- Hybrid work
- Azure
- Salesforce
- DevOps
Quick apply
Director of Engineering
Accommodations Plus International —Markham, ON
- $190,000–$200,000 a year
- Full-time
- Hybrid work
- Oracle
- Computer Science
- Engineering
- Paid time off
- Employee assistance program
14d

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agentic ai jobs near toronto, on

AI PRACTITIONER

ONT.COLLEGE OF TEACHERS -
Toronto, ON

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Job details

Permanent | Full-time
$88,806–$102,253 a year
1 day ago

Qualifications

Cloud infrastructure
Azure
Computer Science
Information Systems
Enterprise architecture
Change management
SQL
Bachelor's
Machine learning
Natural language processing
AI
Python

Full job description

Posting 26-36

AI Practitioner

Enterprise Strategy & Data Management Unit, Digital Technology & Services Department

Permanent Position, Category 6, Hiring Range $88,806 - $102,253

New Vacancy – One position

The Artificial Intelligence (AI) Practitioner will be responsible for designing, developing, implementing and optimizing AI-driven solutions that improve efficiency and productivity by reducing manual effort. This role requires demonstrated expertise and a strong track record in leading design, development, and implementation of AI solutions, with a clear emphasis on alignment with enterprise strategy and governance frameworks

Responsibilities:

AI Solution Development and Delivery:

Deliver AI solutions leveraging Microsoft Azure AI services, Power Platform AI Builder, and Copilot integrations into production systems
Implement Machine Learning (ML) and natural language processing (NLP) solutions for tasks such as classification, summarization, and predictive analytics
Drive end-to-end model lifecycle execution, from deployment to continuous optimization, balancing enterprise-grade delivery with agile experimentation
Establish robust monitoring and operational practices, including performance tracking, drift detection, capacity planning, version control, and production support
Evaluate and optimize AI tools and platforms to drive continuous improvement, enhance efficiency, and reduce manual effort
Create documentation and conduct training sessions with stakeholders to increase AI adoption
Advance enterprise AI maturity by identifying and prioritizing high-value AI use cases aligned with business objectives, focusing on measurable impact and ROI
Develop and maintain an AI roadmap that integrates emerging technologies (e.g., Gen AI, agentic AI) into business processes and services

AI Governance:

Create and operationalize governance frameworks covering privacy and security impact assessments, AI risk and compliance, and data governance standards (classification, retention, auditability)
Lead end-to-end model lifecycle oversight, ensuring robust controls for model validation, monitoring, and regulatory alignment
Monitor compliance of AI solutions with organizational AI ethics standards, regulatory requirements, and responsible AI principles

Enterprise Architecture:

Create and maintain enterprise architecture frameworks and reference models
Collaborate with solution architects to ensure all solutions and enhancements align with existing technical architecture and business value streams
Establish and operationalize governance frameworks for technology solution reviews, lifecycle oversight, and exception management
Provide inputs to project teams on technology selection and integration
Design and implement controls and monitoring processes to minimize security vulnerabilities and operational risks

Qualifications, Skills & Experience:

University degree in information systems, information management, computer science or a related field, or an equivalent combination of education and experience
3-5 years of progressive experience designing and deploying AI solutions in enterprise environments, including large language models, prompt engineering and autonomous AI workflows
Proficiency with Azure AI, Python, SQL and Power Platform, with experience in data transformation and machine learning model development
Experience with AI governance, responsible AI principles, data privacy, security and policy frameworks in enterprise settings
Communication, stakeholder engagement and problem-solving skills, with the ability to translate business needs into practical AI solutions
Experience with ML frameworks, Copilot Studio, agentic AI, cloud infrastructure and change management is an asset
Strong proficiency in Cloud infrastructure
Understanding of responsible AI principles, including bias mitigation, data privacy, and model transparency
Experience developing and operationalizing data governance, security, and AI policy frameworks in enterprise environments
Experience in change management and applying responsible AI principles to support ethical, compliant, and risk-informed decision-making

To apply, please submit your cover letter and resume through our application portal no later than 16 June 2026.

We use Artificial Intelligence (AI) screening to sort applications. Trained staff review applications before decisions are made.

The Ontario College of Teachers offers competitive salaries, pension, comprehensive benefits and a modern, progressive work environment. This position operates with a mix of remote and in-office workdays.

Ontario College of Teachers is an equal opportunity employer committed to inclusive, barrier-free recruitment and selection processes and work environment. We will accommodate the needs of applicants under the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act (AODA) throughout all stages of the recruitment and selection process. Please advise the Human Resources Department to ensure your accessibility needs are accommodated throughout this process. Information received relating to accommodation measures will be addressed confidentially.

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agentic ai jobs in toronto, on

AI PRACTITIONER

Data Scientist

Technology Lead - GenAI Lead

Staff AI Engineer

Lead Agentic AI Engineer – VP (Mississauga)

Senior Data Scientist

Senior AI Engineer – Vice President

Lead Scientist - Applied ML

Patient Experience iCare Exchange Snowflake Engineer

Senior Java Engineer – Agentic AI Driven Development - Senior Vice President

Senior Java Engineer – Agentic AI Driven Development - Vice President

Senior Software Engineer, CMS (Auto Repossession & Remarketing)

Senior Platform Engineer

Senior Enterprise Operations Solutions Specialist

Senior Security Architect

Senior Software Engineer, CMS (Auto Repossession & Remarketing)

Staff AI Platform Engineer

Senior AI Engineer

Salesforce Technical Consultant

Director of Engineering

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