AI Lab Builder (Calgary and Vancouver)

Overview

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 AI Lab Builder leads the hands-on development and day-to-day operations of the KPMG AI Lab .

The role combines rapid prototyping, stakeholder engagement, structured problem-solving, and management of the AI Lab’s devices, tools, and operations. They will d esign and lead AI Lab workshops for clients and KPMG teams across the firm , and build practical use cases with AI and other emerging technologies .

What you will do

Design and build working prototypes, proofs of concept, demos, and workflow automations. Use short development cycles and user feedback to evaluate ideas and refine solutions. Stakeholder engagement and discovery: Work directly with business teams, clients, and technical stakeholders to understand their needs, explore current workflows, and identify opportunities where AI and emerging technologies can deliver value.

Workshops and demonstrations: Facilitate discovery sessions, hands-on workshops, and demonstrations that help people understand the technology, shape use cases, and make informed decisions. AI experimentation and adoption: Continually explore new AI tools, models, frameworks, and development approaches through hands-on building.

Assess their usefulness and limitations, apply promising capabilities to real use cases, and share findings with the team. Lab operations, pipeline, and device management: Coordinate use of the lab by internal teams and clients, manage the lab’s prototype pipeline, device configuration, software updates, and troubleshooting.

Coordinate equipment needs and technical support so the lab is ready for development, workshops, and visits. Build and maintain working demos and proof-of-concept prototypes that showcase agentic AI use cases relevant to the local market and sector mix. 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. What you bring to the role 2–5 years' experience in a technical delivery role: software engineering, solutions engineering, data/AI engineering, applied ML, full-stack development, or technical consulting.

Hands-on experience building with Codex/ChatGPT, Claude Code, Agentic SDKs, Google’s Antigravity, Copilot Studio Experience with MCPs, including configuring, troubleshooting, and integrating MCP servers or clients into workflows. 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). Skills and competencies Builder mindset: Comfortable working in an integrated development environment, a cloud console, and a workshop room in the same day. Strong communication skills and the ability to explain technical concepts clearly to non-technical audiences.

Highly organized, with the ability to manage multiple small development projects, sessions, and requests simultaneously while maintaining clear priorities. Curious about emerging tools, with a practical approach focused on delivering functional solutions rather than pursuing perfection. Collaborative mindset and the ability to work effectively with CST, Digital and Transformation teams, as well as the national lab team.

K PMG Pay Range Information The expected base salary range for this position is $80,000 to $100,000 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

Providing you with the support you need to be at your best Our Values, The KPMG Way 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 We embrace 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. Rapid prototyping: Design and build working prototypes, proofs of concept, demos, and workflow automations. Use short development cycles and user feedback to evaluate ideas and refine solutions.

Stakeholder engagement and discovery: Work directly with business teams, clients, and technical stakeholders to understand their needs, explore current workflows, and identify opportunities where AI and emerging technologies can deliver value. Workshops and demonstrations: Facilitate discovery sessions, hands-on workshops, and demonstrations that help people understand the technology, shape use cases, and make informed decisions.

AI experimentation and adoption: Continually explore new AI tools, models, frameworks, and development approaches through hands-on building. Assess their usefulness and limitations, apply promising capabilities to real use cases, and share findings with the team. Lab operations, pipeline, and device management: Coordinate use of the lab by internal teams and clients, manage the lab’s prototype pipeline, device configuration, software updates, and troubleshooting.

Coordinate equipment needs and technical support so the lab is ready for development, workshops, and visits. Build and maintain working demos and proof-of-concept prototypes that showcase agentic AI use cases relevant to the local market and sector mix. 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: software engineering, solutions engineering, data/AI engineering, applied ML, full-stack development, or technical consulting.

Hands-on experience building with Codex/ChatGPT, Claude Code, Agentic SDKs, Google’s Antigravity, Copilot Studio Experience with MCPs, including configuring, troubleshooting, and integrating MCP servers or clients into workflows. 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). Skills and competencies Builder mindset: Comfortable working in an integrated development environment, a cloud console, and a workshop room in the same day. Strong communication skills and the ability to explain technical concepts clearly to non-technical audiences.

Highly organized, with the ability to manage multiple small development projects, sessions, and requests simultaneously while maintaining clear priorities. Curious about emerging tools, with a practical approach focused on delivering functional solutions rather than pursuing perfection. Collaborative mindset and the ability to work effectively with CST, Digital and Transformation teams, as well as the national lab team.

K PMG Pay Range Information The expected base salary range for this position is $80,000 to $100,000 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

Providing you with the support you need to be at your best