Job Description

Toast is recruiting on behalf of one of the world’s largest professional services firms, a global leader in audit, tax, and advisory with tens of thousands of people across Canada. The firm is investing heavily in AI and has launched a national network of AI Labs where clients and internal teams come to explore, prototype, and adopt emerging technology. As the AI Lab Builder in Vancouver, you will lead hands-on development and day-to-day operations of the local lab, building working prototypes, running client workshops, and turning AI ideas into practical use cases across a wide range of industries.

Responsibilities

Design and build working prototypes, proofs of concept, demos, and workflow automations using short development cycles and user feedback to refine solutions
Work directly with business teams, clients, and technical stakeholders to understand their needs, map current workflows, and identify where AI and emerging tech can deliver value
Facilitate discovery sessions, hands-on workshops, and demonstrations that help people understand the technology, shape use cases, and make informed decisions
Continually explore new AI tools, models, frameworks, and development approaches, assess their strengths and limitations, and share findings with the team
Build and maintain demos and prototypes that showcase agentic AI use cases relevant to the local market and sector mix
Coordinate lab use by internal teams and clients, and manage the prototype pipeline, device configuration, software updates, and troubleshooting
Coordinate equipment needs and technical support so the lab is always ready for development, workshops, and visits
Feed prototype patterns, workshop learnings, and reusable components back to the national lab team for a shared asset library
Track and report local lab metrics such as sessions delivered, prototypes built, and pipeline generated

Requirements

2 to 5 years of experience in a technical delivery role such as software engineering, solutions engineering, data or AI engineering, applied ML, full stack development, or technical consulting
Hands-on experience building with tools like Codex/ChatGPT, Claude Code, agentic SDKs, Google Antigravity, and Copilot Studio
Experience configuring, troubleshooting, and integrating MCP servers or clients into workflows
Comfort facilitating in client-facing technical settings, including workshops, demos, and working sessions
Strong communication skills and the ability to explain technical concepts clearly to non-technical audiences
Highly organized, able to juggle multiple small development projects, sessions, and requests while keeping priorities clear
A builder mindset: comfortable moving between an IDE, a cloud console, and a workshop room in the same day
Curious about emerging tools, with a practical focus on shipping functional solutions over chasing perfection
Collaborative and able to work effectively with digital, transformation, and national lab teams
Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent experience

Benefits

Compensation listed on the posting is for base salary. Total compensation includes base salary + annual bonuses.
Comprehensive and competitive total rewards program
Hands-on access to the latest AI tools, models, and devices as part of your day-to-day work
Build the AI prototypes that clients across Canada’s biggest industries use to decide where and how they adopt AI
Shape the reusable components and playbooks used by AI Labs across the country, so your work scales well beyond Vancouver
Gain direct exposure to senior client stakeholders and a front-row seat to how large organizations put agentic AI into practice