Virtual Lab Jobs in Burnaby, BC (NOW HIRING)

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.

The local Lab Operations Lead is the hands-on-keyboard engine of the geo lab. They coordinate usage of the physical and virtual lab space, provide hands-on technical support to teams using new tools, manage the local pipeline of demo and POC requests, and build the prototypes and demos that the geo's clients see. They are the technical practitioner who makes the lab feel alive day-to-day. 

• Coordinate day-to-day usage of the geo lab space (physical and virtual) — manage the booking calendar, room readiness, equipment, tooling access, and on-site logistics for workshops and client visits. 

• Provide hands-on-keyboard support to client teams and KPMG practitioners using new tools during workshops (agentic frameworks, prototyping tools, sandbox environments). 

• Manage the local pipeline of demo and prototype requests: triage incoming asks, scope effort, assign build resources, and track delivery. 

• Build and maintain working demos and proof-of-concept prototypes that showcase agentic AI use cases relevant to the local market and sector mix. 

• Support delivery of Workshop sessions — set up environments, troubleshoot during sessions, and capture build artifacts. 

• Maintain the local lab's tool stack, sandbox accounts, sample data sets, and re-usable scaffolding in alignment with national standards. 

• Feed prototype patterns, workshop learnings, and reusable components back to the National Lab Experience Lead for inclusion in the shared asset library. 

• Capture and report local lab utilization metrics (sessions delivered, prototypes built, pipeline generated) to the Geo Lab Leader and National team. 

• 2–5 years' experience in a technical delivery role: solutions engineering, data/AI engineering, applied ML, full-stack development, or technical consulting. 

• Comfortable working in the terminal and using command-line interfaces across different tools and environments. 

• Experience with MCPs, including configuring, troubleshooting, and integrating MCP servers or clients into workflows. 

• Hands-on experience building with at least two of: LLM APIs (OpenAI, Anthropic, Azure OpenAI), agentic frameworks (LangGraph, AutoGen, CrewAI, Microsoft Agent Framework), Custom GPTs / Copilot Studio, Python prototyping, vector stores/RAG. 

• Comfort facilitating in a client-facing technical setting — workshops, demos, working sessions. 

• Bachelor's degree in Computer Science, Engineering, Data Science, or a related discipline (or equivalent experience). 

Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice.

Adjustments and accommodations throughout the recruitment process

At KPMG, we are committed to fostering an inclusive recruitment process where all candidates can be themselves and excel. We aim to provide a positive experience and are prepared to offer adjustments or accommodations to help you perform at your best. Adjustments (informal requests), such as extra preparation time or the option for micro breaks during interviews, and accommodations (formal requests), such as accessible communication supports or technology aids, are tailored to individual needs and role requirements. You will have an opportunity to request an adjustment or accommodation at any point throughout the recruitment process. If you require support, please contact KPMG’s Employee Relations Service team by calling 1-888-466-4778.

AI Usage

Weembrace the use of artificial intelligence (AI) to enhance the candidate experience and streamline our recruitment processes. AI tools may help with organizing applications or surfacing relevant qualifications. However, no hiring decisions are made using AI. Every hiring decision is made by our hiring managers and recruitment professionals, who are equipped with training that empowers them to use these tools responsibly. AI technologies used in our recruitment process undergo detailed risk assessments, including security and privacy requirements, that align with KPMG’s Trusted AI framework.

We believe technology should empower human judgment, not replace it. It’s one of the many ways we’re delivering on our vision of being a technology-first, people-driven firm.

• 2–5 years' experience in a technical delivery role: solutions engineering, data/AI engineering, applied ML, full-stack development, or technical consulting. 

• Comfortable working in the terminal and using command-line interfaces across different tools and environments. 

• Experience with MCPs, including configuring, troubleshooting, and integrating MCP servers or clients into workflows. 

• Hands-on experience building with at least two of: LLM APIs (OpenAI, Anthropic, Azure OpenAI), agentic frameworks (LangGraph, AutoGen, CrewAI, Microsoft Agent Framework), Custom GPTs / Copilot Studio, Python prototyping, vector stores/RAG. 

• Comfort facilitating in a client-facing technical setting — workshops, demos, working sessions. 

• Bachelor's degree in Computer Science, Engineering, Data Science, or a related discipline (or equivalent experience).