AI Builder Intern​/Co-op

At KPMG in Canada, our people bring their unique perspectives to Canada’s most important challenges. Here, you can build momentum that reaches beyond our business, develop skills for the future, and take ownership of your career with support at every stage. Join a firm where your career can make a difference.

Please note that you are limited to one application during the recruitment period as we ask you to think ahead of what office and service line you are most interested in. This position is for a 4-month intern / co-op term.

• Build and test AI agents, automations, demos, and other prototypes using KPMG’s approved tools, with guidance from experienced team members.
• Work with internal teams to understand their workflows, identify problems, and explore where AI could help.
• Help define what a prototype should do, test whether it works as intended, and improve it based on feedback.
• Assist with evaluations, documentation, and integrations with approved tools and data sources.
• Explore how Model Context Protocol (MCP) connects AI tools to systems and data, and help test MCP-based workflows where appropriate.
• Create reusable components, build notes, and demonstrations that help other teams learn from your work.
• Participate in AI Lab activities and share your findings with the broader builder community.
• Learn how security, privacy, governance, and human oversight shape AI solutions in a regulated enterprise.

Your work will focus primarily on experimentation and prototyping. You may also support more mature solutions alongside engineering and internal transformation teams.

• We welcome students from engineering, computer science, business, design, data science, and related fields, as well as those who have developed technical skills through independent projects.
• You are enrolled in a post‑secondary program and are eligible for an internship or co‑op work term.
• You have built something you can discuss, whether through a personal project, a hackathon, previous employment, volunteer work, or coursework. It could be an app, automation, workflow, AI experiment, or other working prototype.
• You have a working understanding of AI agents, reusable skills, and Model Context Protocol (MCP).
• You enjoy learning new tools and can explain how you approached a problem, tested an idea, and responded to what you learned.
• You are interested in how people work and how technology can improve a real process.
• You communicate clearly, collaborate well, and are comfortable asking questions when a problem is unclear.
• You are curious about agentic AI and thoughtful about its limitations, risks, and appropriate use.
• Experience building with AI development tools, APIs, low‑code platforms, or enterprise systems is an asset, but you do not need experience with all of them.

You will be based in KPMG’s AI Lab in Toronto. This is a hybrid role with a strong in‑person component. You will be expected to work from the Toronto office three to five days per week, depending on lab activities, team needs, and your projects.

You will work with internal teams across the firm, gaining exposure to business challenges, professional disciplines, and enterprise AI applications that extend beyond the classroom.

• Hands‑on experience building and testing AI prototypes for real internal use cases.
• Direct mentorship from experienced builders, engineers, and business professionals, helping you develop both technical depth and professional judgment.
• Exposure to complex enterprise workflows and the practical considerations involved in adopting AI responsibly.
• Opportunities to demonstrate your work, learn from feedback, and contribute reusable ideas and components.
• Access to…