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Ai Project Manager Jobs in Ontario (NOW HIRING)

AI-ADs

Project Manager

Toronto, ON · Remote

Company Description AI-ADs is a technology-focused organization specializing in data-driven ... Role Description The Project Manager at AI-ADs is a full-time, remote role responsible for ...

Themis

Project Manager

Mississauga, ON · Hybrid

CA$70K - CA$90K/yr

We are an AI-first organization, continuously applying modern tools and workflows to improve how we plan, execute, and deliver outcomes. ----- About the Role As a Project Manager at Themis ...

TorontoAI-oi

Project Manager

Toronto, ON · Remote

... AI-driven solutions for clients across diverse industries. The company emphasizes remote ... The Project Manager will oversee end-to-end project delivery, including planning, scheduling, and ...

Electric Mind

Project Manager

Toronto, ON · On-site

The Project Manager runs the cadence (standups across the sub-teams feeding the PMO rollup), and ... Comfort using AI tools to complete job functions. We may use artificial intelligence (AI) tools to ...

Eaton

Project Manager

Burlington, ON · On-site

CA$116K - CA$145K/yr

The Project Manager is responsible for managing after closing of the major electrical assembly ... Our Talent Acquisition teams also uses AI to identify applicants whose skills are a match for the ...

O'Dell HVAC Group

Project Manager

Mississauga, ON · On-site

CA$70K - CA$80K/yr

We are seeking a Project Manager to join our  Operations team in our Toronto O ffice . Reporting ... While AI may be utilized, all hiring decisions are made by our HR and management teams.

DMC Recruitment

Studio Project Manager

Barrie, ON · Hybrid

$70K - $90K/yr

Studio Project Manager Salary Range: $70,000 - $100,000 Annually Location: Hybrid (2 days remote ... AI Disclosure: In accordance with Ontario legislation, artificial intelligence (AI) tools may be ...

New

Alquemy

Project Manager

Toronto, ON · Hybrid

Project Manager Location: Toronto, ON Contract We are partnering with a leading global investment ... AI/ML technologies Exposure to investment technology platforms or financial data environments ...

Tata Consultancy Services

Project Manager

Toronto, ON · Hybrid

It has set an aspiration to become the world's largest AI-led technology services company and is ... Project Manager Job Summary The Project Manager is responsible for leading and delivering complex ...

Pacer Group

Senior Project Manager

Mississauga, ON · Hybrid

CA$45 - CA$52/hr

Job Title: Sr Project manager Location: Mississauga, ON Work Arrangement: Hybrid - 3-4 Days/Week ... DISCLAIMER AI Usage Policy: Pacer Group uses AI to assist in screening applications. Final hiring ...

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All JobsAi Project JobsAi Project Manager JobsAi Project Manager Jobs in Ontario

Ai Project Manager information

What is an AI project manager?

An AI Project Manager is a professional responsible for overseeing projects that involve artificial intelligence technologies. They bridge the gap between technical AI teams and business stakeholders, ensuring that projects are delivered on time, within budget, and meet the desired outcomes. Their duties often include planning, coordinating resources, managing risks, and communicating progress. AI Project Managers must understand both project management methodologies and the fundamentals of AI to effectively guide their teams. They also play a crucial role in aligning AI initiatives with organizational goals.

What skills and qualifications are needed to thrive as an AI project manager?

To thrive as an AI Project Manager, you need a solid understanding of AI concepts, project management methodologies, and experience with cross-functional teams, often backed by a degree in computer science or a related field. Familiarity with tools like JIRA, Asana, and AI development platforms, as well as certifications such as PMP or Agile Scrum Master, is typically required. Strong leadership, communication, and problem-solving skills help facilitate collaboration and manage stakeholder expectations. These competencies are crucial to successfully delivering complex AI projects on time and within scope, ensuring alignment between technical teams and business goals.

How does an AI project manager typically collaborate with data scientists and software engineers during a project?

An AI Project Manager serves as a crucial bridge between technical teams, like data scientists and software engineers, and stakeholders. They facilitate clear communication by translating project goals into actionable tasks and ensuring timelines are met. Regular check-ins, sprint planning, and progress reviews are common, allowing the manager to address roadblocks and realign priorities as needed. This collaborative approach helps ensure that project deliverables align with both technical specifications and business objectives.

What is the difference between Ai Project Manager vs Data Scientist?

AspectAi Project ManagerData Scientist
Required CredentialsBachelor's in CS, Business, or related; certifications in AI/ML project managementBachelor's or higher in CS, Statistics, or related; advanced degrees often preferred
Work EnvironmentOversees AI projects, collaborates with technical teams and stakeholdersAnalyzes data, develops models, and interprets results
Industry UsageUsed across tech, finance, healthcare for managing AI initiativesCommon in research, tech, and analytics sectors

The Ai Project Manager focuses on leading AI projects, coordinating teams, and ensuring project goals are met. In contrast, Data Scientists primarily analyze data, develop models, and generate insights. Both roles often collaborate but serve different functions within AI and data-driven environments.

How do you become an AI project manager?

To become an AI project manager, candidates typically need a background in computer science, data science, or related fields, along with experience managing technology projects. Strong skills in AI concepts, project management methodologies like Agile, and familiarity with tools such as JIRA or Trello are important. Earning certifications like PMP or Scrum Master can also enhance qualifications.

How much do AI project managers make?

AI project managers typically earn between $90,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and data analysis can earn higher salaries, often exceeding $180,000.

What are popular job titles related to Ai Project Manager jobs in Ontario?

For Ai Project Manager jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Ai Project Manager jobs in Ontario look for?

The top searched job categories for Ai Project Manager jobs in Ontario are:

What cities in Ontario are hiring for Ai Project Manager jobs?

Cities in Ontario with the most Ai Project Manager job openings:

Ai Project Manager jobs near you
Infographic showing various Ai Project Manager job openings in Ontario as of August 2026, with employment types broken down into 80% Full Time, 19% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution.

Agentic AI Project Experience Program (Remote)

Sapsol Technologies Inc

Waterloo, ON • Remote

Full-time

Re-posted 10 days ago

Job description

AI Workflow Automation & Enterprise AI Systems Exposure

SAPSOL Technologies Inc. is offering an 8-Week Agentic AI Project Experience Program designed for individuals interested in gaining hands-on exposure to AI workflow automation, enterprise AI systems, AI agents, and modern automation technologies used in business environments.

This program is structured around real-time scenario-based projects and collaborative workflow implementations to help participants strengthen their practical understanding of AI automation concepts and enterprise workflow design.

Program Highlights
  • 8-Week Weekend Program
  • Real-Time Scenario-Based Project Exposure
  • AI Workflow Automation Projects
  • Enterprise AI Use Cases
  • Team-Based Collaboration Activities
  • Portfolio-Oriented Project Work
  • Mentor-Guided Sessions
  • Exposure to Modern AI Automation Tools
Technologies & Platforms Covered

Participants may gain exposure to:

  • n8n Workflow Automation
  • AI Agents & Multi-Agent Systems
  • OpenAI / LLM Integrations
  • REST APIs & Webhooks
  • Prompt Engineering
  • RAG Systems
  • Airtable / PostgreSQL
  • Google Workspace Integrations
  • Slack / CRM Workflow Integrations
Project Exposure Areas

Participants may work on projects involving:

  • AI Resume Screening Systems
  • AI Interview Evaluation Workflows
  • AI Customer Support Chatbots
  • AI Research Assistants
  • AI Content Automation Systems
  • AI Ticket Classification Systems
  • Enterprise Workflow Automation
  • AI Document Processing Systems
  • AI Sales Outreach Automation
  • Multi-Agent Workflow Systems
Project Portfolio Exposure

Throughout the program, participants work on project-oriented assignments and workflow implementations that can help strengthen their professional project portfolio.

Participants may gain exposure to:

  • AI workflow architecture
  • Automation system design
  • API integration workflows
  • Prompt engineering concepts
  • Documentation practices
  • Workflow testing activities
  • Team collaboration environments
  • Enterprise AI implementation concepts

This program is intended to help participants build practical exposure and showcase project-oriented AI workflow experience in professional discussions and resumes.

Program Structure
  • Weekend-based live sessions
  • Guided workflow implementation activities
  • Real-time scenario-based exercises
  • Team collaboration activities
  • Mentor-led walkthroughs
  • Structured learning path from AI foundations to enterprise workflow systems
Who Can Apply

This program may be suitable for:

  • Students & Recent Graduates
  • Developers & Engineers
  • Business Analysts
  • Career Transition Candidates
  • Automation Enthusiasts
  • Professionals interested in AI workflow technologies

Candidates with exposure or interest in APIs, automation tools, AI concepts, workflow systems, or low-code/no-code platforms are encouraged to apply.

No advanced coding background is required for beginners willing to learn.

Important Note

This is a structured project experience program intended to provide exposure to AI workflow systems, enterprise automation concepts, and project-oriented learning activities. This is not an employment opportunity.

Any program fees associated with participation are related to mentorship, learning infrastructure, tools access, project environments, and guided project support.

Application Process

Interested candidates may apply with:

  • Updated Resume
  • LinkedIn Profile (optional)
  • Brief summary of technical interests

Candidates may also send their updated resume directly to:
sushma@sapsol.com

Apply