AI Lab Builder
Role Overview
Toast is recruiting on behalf of a large professional services firm investing in AI and operating a national network of AI Labs.
The AI Lab Builder leads hands-on development and day-to-day operations of the Vancouver lab.
The work turns AI ideas into practical prototypes and use cases through development, workshops, and client engagement.
Key Skills for This Role
Full Job Posting
Role overview
Toast is recruiting on behalf of a large professional services firm investing in AI and operating a national network of AI Labs.
The AI Lab Builder leads hands-on development and day-to-day operations of the Vancouver lab.
The work turns AI ideas into practical prototypes and use cases through development, workshops, and client engagement.
Responsibilities
- Build prototypes, proofs of concept, demos, and workflow automations using short cycles and user feedback.
- Work with business teams, clients, and technical stakeholders to understand needs, map workflows, and identify AI opportunities.
- Run discovery sessions, workshops, and demonstrations to help people understand technology and shape use cases.
- Assess emerging AI tools, models, frameworks, and development approaches and share findings.
- Maintain demos and agentic AI prototypes relevant to the local market and sector mix.
- Coordinate lab access, the prototype pipeline, device configuration, software updates, troubleshooting, equipment, and technical support.
- Share reusable prototype patterns and workshop learnings with the national lab team.
- Track 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 such as Codex/ChatGPT, Claude Code, agentic SDKs, Google Antigravity, and Copilot Studio.
- Experience configuring, troubleshooting, and integrating MCP servers or clients into workflows.
- Comfort facilitating client-facing technical workshops, demonstrations, and working sessions.
- Strong communication skills, organization, and ability to manage multiple projects and priorities.
- Bachelor's degree in Computer Science, Engineering, Data Science, or a related field, or equivalent experience.
Benefits and opportunity
- The posting says listed compensation is base salary and total compensation includes annual bonuses; no salary amount or cadence is stated.
- The role provides hands-on access to AI tools, models, and devices and exposure to senior client stakeholders.
- Work may contribute reusable components and playbooks for AI Labs across Canada.
Recruitment process
- The posting describes application review, a vetting call, profile creation, and client submission as stages of Toast's recruitment process.
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