OverviewThe local AI Lab Builder leads the hands-on development and day-to-day operations of the KPMG AI Lab. The role combines rapid prototyping, stakeholder engagement, structured problem-solving, and management of the AI Lab's devices, tools, and operations. They will design and lead AI Lab workshops for clients and KPMG teams across the firm, and build practical use cases with AI and other emerging technologies.
What you will do- Rapid prototyping: Design and build working prototypes, proofs of concept, demos, and workflow automations. Use short development cycles and user feedback to evaluate ideas and refine solutions.
- Stakeholder engagement and discovery: Work directly with business teams, clients, and technical stakeholders to understand their needs, explore current workflows, and identify opportunities where AI and emerging technologies can deliver value.
- Workshops and demonstrations: Facilitate discovery sessions, hands-on workshops, and demonstrations that help people understand the technology, shape use cases, and make informed decisions.
- AI experimentation and adoption: Continually explore new AI tools, models, frameworks, and development approaches through hands-on building. Assess their usefulness and limitations, apply promising capabilities to real use cases, and share findings with the team.
- Lab operations, pipeline, and device management: Coordinate use of the lab by internal teams and clients, manage the lab's prototype pipeline, device configuration, software updates, and troubleshooting. Coordinate equipment needs and technical support so the lab is ready for development, workshops, and visits.
- Build and maintain working demos and proof-of-concept prototypes that showcase agentic AI use cases relevant to the local market and sector mix.
- Feed prototype patterns, workshop learnings, and reusable components back to the National Lab Experience Lead for inclusion in the shared asset library.
- Capture and report local lab utilization metrics (sessions delivered, prototypes built, pipeline generated) to the Geo Lab Leader and National team.
What you bring to the role- 2-5 years' experience in a technical delivery role: software engineering, solutions engineering, data/AI engineering, applied ML, full-stack development, or technical consulting.
- Hands-on experience building with Codex/ChatGPT, Claude Code, Agentic SDKs, Google's Antigravity, Copilot Studio
- Experience with MCPs, including configuring, troubleshooting, and integrating MCP servers or clients into workflows.
- Comfort facilitating in a client-facing technical setting - workshops, demos, working sessions.
- Bachelor's degree in Computer Science, Engineering, Data Science, or a related discipline (or equivalent experience).
Skills and competencies
- Builder mindset: Comfortable working in an integrated development environment, a cloud console, and a workshop room in the same day.
- Strong communication skills and the ability to explain technical concepts clearly to non-technical audiences.
- Highly organized, with the ability to manage multiple small development projects, sessions, and requests simultaneously while maintaining clear priorities.
- Curious about emerging tools, with a practical approach focused on delivering functional solutions rather than pursuing perfection.
- Collaborative mindset and the ability to work effectively with CST, Digital and Transformation teams, as well as the national lab team.
Skills and competencies- Builder mindset: Comfortable working in an integrated development environment, a cloud console, and a workshop room in the same day.
- Strong communication skills and the ability to explain technical concepts clearly to non-technical audiences.
- Highly organized, with the ability to manage multiple small development projects, sessions, and requests simultaneously while maintaining clear priorities.
- Curious about emerging tools, with a practical approach focused on delivering functional solutions rather than pursuing perfection.
- Collaborative mindset and the ability to work effectively with CST, Digital and Transformation teams, as well as the national lab team.
KPMG Pay Range InformationThe expected base salary range for this position is $80,000 to $100,000 and may be eligible for bonus awards. The determination of an applicant's base salary within this range is based on the individual's location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.
