Careers in AI

Working in Artificial Intelligence (AI) at KPMG means helping turn emerging technologies into real‑world impact. You’ll work at the intersection of AI, business transformation, and human ingenuity, helping reimagine how businesses and our firm operate, make decisions, and create value in a rapidly changing world.

Across industries, you’ll collaborate with multidisciplinary teams to identify opportunities for AI, design and deploy intelligent solutions, and embed AI responsibly into the core of our organization, from strategy and governance to implementation and adoption. At the same time, you’ll be part of a firm that treats AI as both a client capability and an internal operating model, investing heavily in experimentation, upskilling, and building trusted, made in Canada AI solutions.

Whether improving productivity, unlocking new insights, or shaping how AI is used ethically and at scale, AI roles at KPMG are about building what’s next—responsibly, collaboratively, and with measurable impact.

We are scaling our AI Transformation team

Our AI Transformation team is dedicated to making AI a core part of how our firm operates, scales, and delivers work. This isn’t traditional delivery. It’s a hands‑on, builder‑first environment where AI becomes core to how work gets done.

How this team works

This team exists to make AI part of how every team delivers work. As part of this team, you will:

Focus on building AI solutions, agents, skills and plugins for KPMG
Align leadership on how AI is used internally and with clients
Reduce fragmentation through shared tools and workflows
Enable speed, experimentation, and trust at scale
Build today’s solutions while strengthening long-term capability

We're hiring AI Builders

As part of the scaling of our AI Transformation team, we are hiring multiple AI Builders to power our internal AI capabilities.

AI Builders design, build, and scale agents, tools, and skills that are embedded directly into how the firm operates.

What you’ll do

Build, test, and harden agents, plugins, and tools using the firm’s approved AI stack
Own the full build lifecycle, from prototype to production to post deployment
Work with enterprise systems, evaluations, and integrations
Contribute reusable assets back to the shared stack
Collaborate closely with Engineering and platform teams to enable production deployments
Be an active member of the AI Lab, sharing demos, learning, and building community

AI Builder – Senior Consultant

Build, test, and harden production‑grade agents, plugins, skills, and tools.
Own delivery for well‑scoped problems end‑to‑end .
Design evaluations and integrations across enterprise platforms and data sources.
Contribute reusable components and demos to the shared AI stack and Lab community.

Apply

AI Builder – Manager

Lead complex internal agentic AI initiatives, guiding work from experimentation to validated outcomes.
Own the full build lifecycle across prototyping, evaluation, production, and change management.
Partner with engineering/platform teams to ensure reliability, security, and scalability in production.
Lead teams and demo readiness.

Apply

What does the recruitment process look like?

Our recruitment process for these roles is designed to be practical, transparent, and focused on real skills and potential.

Step 1: Apply
Step 2: Shortlist and prototype case
Step 3: Hiring decision

Apply

Submit your application with your CV that includes a hyperlink to 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.

Shortlist and prototype case

Shortlisted candidates are invited to complete a prototype build case submission and participate in an interview. This stage mirrors real‑world work and gives you the chance to show how you think, design, and apply agentic AI in practice.

Hiring decision

Final candidates move forward to a hiring decision, with a focus on skills, collaboration, and responsible, scalable impact.

FAQs

Your CV should highlight your experience, education, and skills relevant to the role. This can include professional roles, academic work, research, or applied projects. Linked in your CV should be your prototype portfolio which can be shared through links to repositories, demos, presentations, or documentation. Ensure links are accessible and clearly labeled.

We use a build‑first, skills‑based approach focused on how you think and build.

Initial review: We confirm role requirements and experience alignment.
Prototype and portfolio review (primary focus): We assess problem framing, builder mindset, technical depth, creativity, and learning velocity.
Resume and experience: Reviewed in context as a supporting signal.
Prototype case and interviews: Shortlisted candidates will be asked to build a prototype through a short case study and take part in interviews.

AI Builders work alongside client delivery teams to identify, prototype, and embed AI solutions that accelerate live client engagements. The work is anchored in shaping ideas with account teams, supporting pursuits and demos, and staying involved as solutions move into early client delivery.

We're open to diverse backgrounds and paths into AI. Strong candidates will bring:

Hands‑on experience building and experimenting with AI, automation, or agent‑based solutions
The ability to frame problems, prototype quickly, and learn fast in evolving environments
Technical depth appropriate to level, paired with curiosity and creativity
Experience from consulting, engineering, product, startups, academia, or self‑directed work

What matters most is your builder mindset and real‑world work, not a specific title or career path.

Your submission will be used solely to evaluate your application for the AI Builder role. We will not use, repurpose, or build on your work in any way. By submitting your application, you consent to your portfolio and prototypes being reviewed by our internal hiring team and stored securely for the period of the evaluation, after which all application materials will be permanently deleted.

Success is measured by outcomes. This includes the quality and reusability of what you build, adoption across teams, speed to value, and the impact delivered.

You’ll collaborate closely with other builders in the AI Lab, as well as Engineering, platform teams, functional leaders, and industry subject matter experts across the firm.

AI Builders will be based out of Toronto, Vancouver, Calgary and Montreal.

Teams shaping AI at KPMG

City at sunset connected by glowing purple digital network lines

Agentic Enterprise

Designs and operationalizes enterprise-wide agent ecosystems for clients, partnering with functional client service teams to identify high-impact workflows and with internal AI Builders to embed scalable, production-grade agents into KPMG’s business processes.

AI lab

Incubates and experiments with cutting-edge AI capabilities and tools, working with AI Builders, AI teams and Functional teams to validate and prototype high-value use cases.

Data engineering and applied AI

Provides the data infrastructure, and governance foundation, equipping clients with reliable, production-ready assets for agent and model development.

Functional teams

Translates business problems into deployable AI solutions for clients, collaborating closely with Enterprise solutions teams to refine use cases and with internal AI Builders to design, build, and scale practical tools for client service delivery.

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Insights

KPMG and Anthropic

Advancing AI as the next step in value creation

KPMG firms are joining forces with Anthropic in a strategic alliance to bring frontier AI directly to clients. By integrating Anthropic's AI model, Claude, we are enhancing how we provide services and empowering clients in a rapidly changing landscape.

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KPMG’s investments help organizations turn AI ideas into real-world results

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