AI implementation Intern
Service Operations
Posted on 11/4/2025

Ford Motor Company
No salary listed
Oakville, ON, Canada
Hybrid
Hybrid role requiring 4 days in office weekly in Oakville, ON.
Ford Motor Company of Canada, Limited is a national manufacturer and distributor of automobiles and automotive service parts headquartered in Oakville, Ontario and is an integral part of the international Ford Motor Company organization.
If you have the drive and want the excitement of a challenging internship, please submit your application no later than Sunday, November 16. A resume and transcript are required as part of your application.
Work Location: Oakville
Work Model: Hybrid, 4 days in office per week
BASIC QUALIFICATIONS:
- Undergraduate or Graduate degree (B.Comm, BBA, MBA or equivalent) in progress
- Applicants will be required to provide current transcripts
- Applicants are required to be returning to school in the Fall
- Proficient in Microsoft Excel, Word, PowerPoint
- Candidates must be available May to August 2026
PREFERRED QUALIFICATIONS:
- Demonstrated communication, interpersonal, and analytical skills
- Ability to work independently and manage time effectively
- Ability to deliver assignments with a value-add mind-set
- Automotive work and previous work experience considered an asset
- Strong interest in Artificial Intelligence, Machine Learning, and data analysis, with a curiosity for how these technologies can transform business operations. Keen attention to detail and an analytical mindset will be required to accurately assess the output for feasibility.
- Self-motivated, proactive, and eager to learn, with the ability to take initiative and work independently as well as collaboratively within a team.
- Excellent written and verbal communication skills, with a keen eye for detail in documentation.
- A genuine interest in the technical aspects of the automotive industry and a desire to contribute to its advancement.
Ford of Canada is an Equal Opportunity Employer and is committed to a culturally diverse workforce. Accommodations for applicants with disabilities throughout the recruitment, selection and / or assessment processes, where needed, are available upon request. Please inform Human Resources of the nature of any accommodation(s) that you may require.
Candidates for this position must be legally entitled to work in Canada. Ford Motor Company of Canada, Limited does not sponsor work permit application.
We thank all applicants for their interest, but only those selected for an interview will be contacted.
Are you a highly motivated university student with a passion for cutting-edge technology and the automotive industry? Do you thrive on solving complex problems and enhancing operational efficiency? We are seeking a talented and self-driven AI Initiatives Intern to join our Service Operations team. This role offers a unique opportunity to apply Artificial Intelligence (AI) tools to real-world business challenges, contributing directly to the optimization of our service delivery and engineering processes.
As an AI Initiatives Intern, you will play a pivotal role in leveraging company-verified AI tools to drive innovation and efficiency within our global service operations. You will gain hands-on experience in a dynamic environment, developing critical skills for future employment in the rapidly evolving fields of AI and automotive technology.
Responsibilities Could Include:
- AI-Powered Scheduling Optimization: Utilize company-verified AI tools to develop and refine an optimized national training schedule for service technicians, improving efficiency and resource allocation. This involves assisting with AI model development and optimizing machine learning models to meet project requirements.
- Process Documentation for Service Engineering: Document key processes and workflows within our service engineering function, ensuring clarity and consistency.
- Field Service Action (FSA) Process Mapping: Create comprehensive documentation for critical Field Service Actions (FSAs), detailing procedures, requirements, and best practices to enhance operational execution and compliance.
- Collaboration: Work closely with the service operations team to gain a thorough understanding of business needs and translate them into actionable AI initiatives.
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