AI Lab Builder
- Vancouver, BC, Canada
$80,000 to $100,000 USD / year · Full-time
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Job details
- Pay
- $80,000 to $100,000 USD / year
- Job type
- Full-time
- Apply by
- Posting language
- English
- Posted
Original 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
- 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
- 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
- Application Review
- Vetting Call
- Profile Creation
- Client Submission
More about this job
Responsibilities
Build and refine AI prototypes, proofs of concept, demonstrations, and workflow automations based on client and business needs. Operate the Vancouver AI lab, facilitate workshops and demonstrations, manage lab resources and prototype pipelines, and share reusable assets and performance metrics with the national team.
Requirements
Requires 2–5 years of experience in a technical delivery role and hands-on experience with AI development tools, agentic SDKs, and configuring or integrating MCP servers or clients. Candidates should be comfortable facilitating client-facing technical sessions, communicating clearly with non-technical audiences, managing multiple projects, and hold a relevant bachelor’s degree or equivalent experience.
Skills
- AI Prototyping
- Software Engineering
- Agentic AI
- MCP Integration
- Workflow Automation
- Solutions Engineering
- Data Engineering
- Applied Machine Learning
- Full-Stack Development
- Technical Consulting
- Client Workshops
- Technical Demonstrations
- Requirements Discovery
- Troubleshooting
- Stakeholder Communication
- Project Coordination
Benefits
- Annual Bonuses
- Competitive Total Rewards Program
- Hands-On Access To AI Tools, Models, And Devices
- Exposure To Senior Client Stakeholders
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Data & Analytics
- Consulting
- Management & Leadership
Keywords
- AI Labs
- Artificial Intelligence
- AI Prototypes
- Proofs Of Concept
- Workflow Automation
- Agentic AI
- Codex
- ChatGPT
- Claude Code
- Agentic SDKs
- Google Antigravity
- Copilot Studio
- MCP Servers
- MCP Clients
- Software Engineering
- Solutions Engineering
- Data Engineering
- Applied Machine Learning
- Full-Stack Development
- Technical Consulting
- Client Workshops
- Technical Demonstrations
- Discovery Sessions
- Emerging Technology
- Prototype Pipeline
- Device Configuration
- Troubleshooting
- Cloud Console
- Reusable Components
- Client Stakeholders