AI Builder- Senior Consultant

KPMG•Vancouver, BC

6d•Onsite

About The Position

KPMG in Canada is scaling an internal team of AI Builders who operate as the engine embedded in the business—powering the firm’s agent builds and transforming our business. This team is for people who sit at the intersection of enterprise operations, technology, and design, and who can look at how the firm works today, imagine how it should operate with agentic AI, and make that future real through execution. Our objective is to move beyond experimentation and enable real internal adoption of agentic AI, redesigning core workflows, decision systems, and operating models using autonomous agents that power KPMG’s service lines and internal teams. Within this role, AI Builders take ownership of the full build lifecycle, working closely with Engineering and Internal Transformation teams to move solutions from our KPMG AI Lab into scalable, reliable production systems, all within a complex and regulated enterprise.

Requirements

Enterprise fluency and understand how organizations operate.
Can identify real pain points, constraints, and opportunities where agentic AI creates tangible value.
Think in workflows, not just models, designing multi‑step processes that account for human-AI handoffs, decision boundaries, and appropriate levels of autonomy.
Have a builder mindset and don’t just describe solutions, you create them, whether through code, configuration, low‑code platforms, APIs, or orchestration tools.
Take end‑to‑end ownership, from problem definition through to a working system that people actually use.
Comfortable operating in ambiguity and understand that enterprise transformation is rarely linear.
Can make reasonable assumptions, build quickly, test, learn, and iterate.
Apply sound judgment, treating risk, governance, ethics, and trust as core design constraints rather than afterthoughts.
Submit a resume and, if you choose, a short cover letter that helps us understand your experience and what you care about.
Use this to highlight how you think, learn, and approach complex problems, especially in client or enterprise environments.
Submit a prototype portfolio. This can include a link to a hosting platform with examples of AI solutions, tools, experiments, or projects that demonstrate how you approach problem-solving and build with AI.

Nice To Haves

Something you’ve built - A project, a prototype, a system, a workflow you redesigned, an agent you configured, an automation you created. It doesn’t have to be agentic AI specifically. It just has to show us how you think and what you’re capable of. A GitHub repo, a demo video, a write-up of how you approached a hard problem, all work. We encourage thoughtful, original work—use AI as a tool, but make sure your own thinking and approach come through clearly.

Responsibilities

Build, test, and harden agents, plugins, skills, and tools using the firm’s approved technology stack, working in deep connection with cloud and engineering teams to deliver production‑grade solutions.
Own the full build lifecycle: prototype in the AI Lab, productionize through Internal Transformation, and maintain solutions post‑deployment with support from engineering and platform teams.
Work with production systems, design evaluations, and handle integrations with enterprise platforms and data sources.
Contribute reusable skills, components, and tools back into the shared AI stack so each subsequent build starts further ahead.
Operate inside the shared builder pool, deployed against the highest‑leverage agent builds across the organization.
Be an active member of the AI Lab, contributing demos, reusable assets, and helping build a strong builder community across the firm.