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Ai Implementation Jobs in Ontario (NOW HIRING)

CA$105K - CA$125K/yr

Lead a centralized AI implementation team responsible for delivering enterprise AI and Generative AI initiatives across retail business functions. * Own end-to-end program delivery including planning ...

Implementation Analyst

Toronto, ON · On-site

CA$55K - CA$70K/yr

Work with Forma.ai's Product and Engineering teams to articulate customer feedback that informs the priority of new product features and to implement new platform features to support continuous ...

Guide the team on best practices, conduct code reviews, and mentor team members on Generative AI implementation. What do you need to succeed? Must-have * A PhD or Master's degree in Computer Science ...

Mine insights from AI implementation teams and FDEs, turning frontline deployment pain points into actionable UX improvements * Synthesize findings into clear, prioritized recommendations that ...

We offer an AI-powered, SaaS platform connecting Fresh, Center, eCommerce, and DSD department ... Role Overview Upshop is seeking a Director of Implementation to lead our Implementation ...

Director, SPM Implementation About the Team The Customer Operations team partners with new and existing customers to implement and optimize the company's platform, ensuring clients maximize the ...

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Ai Implementation information

What is an AI implementation?

An AI Implementation job involves deploying artificial intelligence solutions within an organization to improve efficiency, automation, and decision-making. Professionals in this role work closely with data scientists, engineers, and business teams to integrate AI models into existing systems. They manage data pipelines, ensure model performance, and address challenges related to scalability and compliance. Strong technical skills, project management, and an understanding of business processes are essential for success in this role.

What are the key skills and qualifications needed to thrive in the AI implementation position?

To excel in AI Implementation, you need a robust understanding of machine learning concepts, data analysis, and software development, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, cloud platforms (AWS, Azure), and AI integration frameworks is commonly required, along with relevant certifications. Strong project management, problem-solving abilities, and excellent communication skills are crucial for coordinating with stakeholders and driving adoption. Mastering both technical and interpersonal skills ensures projects are delivered effectively and meet business objectives within diverse organizational settings.

What kinds of teams and departments does an AI implementation professional typically collaborate with?

AI Implementation professionals usually work cross-functionally, interacting with data scientists, software engineers, IT departments, and business stakeholders to ensure AI solutions address specific business needs. Regular collaboration with product managers and operations teams helps align technical efforts with strategic objectives and regulatory requirements. You may also work closely with end users to gather feedback, refine implementations, and ensure a smooth adoption process. This collaborative environment not only enhances the quality of AI deployments but also offers valuable exposure to different aspects of the organization, fostering professional growth.

How to become an AI implementation specialist?

To become an AI implementation specialist, individuals typically need a strong background in computer science, data science, or related fields, along with knowledge of machine learning, programming languages like Python, and AI frameworks such as TensorFlow or PyTorch. Gaining experience through internships, certifications, or projects involving AI deployment is also valuable. Continuous learning and staying updated on AI tools and industry trends are essential for success in this role.

How to get into AI implementation?

To pursue a career in AI implementation, develop strong skills in programming languages such as Python, understand machine learning frameworks like TensorFlow or PyTorch, and gain experience with data analysis and model deployment. Earning relevant certifications or degrees in computer science, data science, or AI can also enhance your qualifications.

What cities in Ontario are hiring for Ai Implementation jobs?

Cities in Ontario with the most Ai Implementation job openings:

Infographic showing various Ai Implementation job openings in Ontario as of August 2026, with employment types broken down into 71% Full Time, 27% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Technical Delivery Manager - AI

Infoya

On-site

CA$105K - CA$125K/yr

Full-time

Posted 28 days ago


Job description

Position Summary

We are seeking an experienced and results-driven AI Technical Delivery Manager to lead a centralized AI implementation and delivery organization supporting a Fortune 100 global retail client. This role will be responsible for driving enterprise AI initiatives from strategy through execution, managing cross-functional teams, ensuring successful deployment of AI solutions, and establishing delivery governance across multiple business units.

The ideal candidate will possess a strong blend of program management, AI/ML delivery experience, stakeholder management, technology leadership, and operational excellence. This leader will serve as the primary interface between business stakeholders, data science teams, engineering organizations, and executive leadership to ensure successful adoption and realization of AI-driven business outcomes.


Key Responsibilities
Delivery Leadership
  • Lead a centralized AI implementation team responsible for delivering enterprise AI and Generative AI initiatives across retail business functions.
  • Own end-to-end program delivery including planning, execution, governance, risk management, and stakeholder communication.
  • Develop and maintain AI delivery roadmaps aligned to business objectives and strategic priorities.
  • Establish delivery frameworks, operating models, and best practices to drive consistent execution across AI programs.
  • Manage multiple concurrent AI projects while ensuring adherence to timelines, budgets, and quality standards.
AI Solution Implementation
  • Oversee deployment of AI/ML, Generative AI, Intelligent Automation, and Advanced Analytics solutions.
  • Partner with Data Science, Data Engineering, Cloud Engineering, Security, and Architecture teams to transition AI solutions from prototype to production.
  • Ensure AI solutions are scalable, secure, compliant, and aligned with enterprise standards.
  • Drive adoption of responsible AI practices, governance controls, and model lifecycle management.
Client & Stakeholder Management
  • Act as the primary delivery leader and trusted advisor for senior client stakeholders.
  • Conduct executive steering committee meetings and provide regular updates on program health, risks, outcomes, and value realization.
  • Facilitate alignment between business, technology, operations, and vendor teams.
  • Influence and drive decision-making across multiple stakeholder groups.
Team Leadership
  • Lead and mentor a multidisciplinary team comprising AI Engineers, Data Scientists, Machine Learning Engineers, Architects, Product Owners, and Delivery Leads.
  • Build a high-performance delivery culture focused on innovation, accountability, and continuous improvement.
  • Drive resource planning, talent development, capacity management, and succession planning.
Governance & Operational Excellence
  • Establish AI delivery governance, KPI frameworks, and operational dashboards.
  • Define and track program success metrics including adoption, business value, model performance, productivity gains, and ROI.
  • Manage program risks, dependencies, escalations, and mitigation plans.
  • Ensure compliance with security, privacy, regulatory, and enterprise governance requirements.


RequirementsExperience
  • 10+ years of experience in Technology Delivery, Project Management, or Digital Transformation.
  • 2+ years managing AI/ML, Data Science, Advanced Analytics, or Generative AI delivery programs.
  • Demonstrated experience leading large-scale enterprise transformations for Fortune 500/Fortune 100 clients.
  • Experience managing global delivery teams across multiple geographies.
  • Proven track record of delivering complex technology programs exceeding $5M+ in annual portfolio value.
Preferred Qualifications
  • Retail industry experience preferred.
  • Experience implementing AI solutions in areas such as:
    • Customer Service
    • Personalized Marketing
    • Merchandising
    • Supply Chain Optimization
    • Demand Forecasting
    • Store Operations
    • Inventory Optimization
    • Digital Commerce
  • Knowledge of enterprise AI platforms including Azure OpenAI, Vertex AI, AWS Bedrock, Databricks, or similar ecosystems.
  • Experience working with executive leadership and C-suite stakeholders.


Benefits

Salary Range: CAD $115,000 - $125,000/year

The final compensation offered will depend on local market conditions and geographic location, as well as job-related factors such as the candidate’s knowledge, skills, qualifications, relevant experience, and education/training. Compensation may also include additional components such as benefits, and/or other incentives, where applicable. In accordance with new employment standards requirements, we retain copies of this job posting and applicant information for three (3) years after the posting is removed. We do not use AI technology; all applications are also reviewed by our recruitment team.

Infoya is an equal opportunity employer committed to diversity and inclusion. We welcome applications from all qualified individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, aboriginal status, or any other legally protected factors.