AI Lab Operations Lead
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Key skills for this role
Role Overview
Serve as the hands-on technical operator of the local geo lab.
Coordinate physical and virtual lab usage, support teams using new tools, manage demo and proof-of-concept requests, and build prototypes for clients.
Work across an integrated development environment, cloud console, and workshop room.
Key Skills for This Role
Full Job Posting
Role Overview
Serve as the hands-on technical operator of the local geo lab.
Coordinate physical and virtual lab usage, support teams using new tools, manage demo and proof-of-concept requests, and build prototypes for clients.
Work across an integrated development environment, cloud console, and workshop room.
What You Will Do
- Manage bookings, room readiness, equipment, tooling access, and on-site logistics for workshops and client visits.
- Provide hands-on support during workshops using agentic frameworks, prototyping tools, and sandbox environments.
- Triage prototype requests, scope effort, assign resources, and track delivery.
- Build demos and proof-of-concept prototypes for agentic AI use cases.
- Set up environments, troubleshoot sessions, and capture build artifacts.
- Maintain tools, sandbox accounts, sample datasets, and reusable scaffolding.
- Share reusable patterns and workshop learnings with the national lab team.
- Report lab utilization metrics to local and national stakeholders.
What You Bring
- 2–5 years of experience in technical delivery, solutions engineering, data or AI engineering, applied machine learning, full-stack development, or technical consulting.
- Comfort with terminals and command-line interfaces across tools and environments.
- Experience configuring, troubleshooting, and integrating MCP servers or clients.
- Hands-on experience with at least two listed LLM APIs, agentic frameworks, Custom GPTs or Copilot Studio, Python prototyping, or vector stores and RAG.
- Comfort facilitating client-facing workshops, demos, and working sessions.
- Bachelor's degree in Computer Science, Engineering, Data Science, or a related discipline, or equivalent experience.
Skills and Competencies
- Strong communication skills and ability to explain technical concepts to non-technical audiences.
- Highly organized and able to manage multiple projects, sessions, and requests simultaneously.
- Curious about emerging tools and focused on delivering functional solutions.
- Collaborative with CST, Digital and Transformation teams, and the national lab team.
Compensation
- The expected base salary range is CAD 80,000 to CAD 100,000 per year.
- The position may be eligible for bonus awards.
- Base salary depends on location, skills, competencies, and qualifications.
Company Context
KPMG Canada provides professional services and emphasizes technology-enabled solutions, inclusion, and career development.
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