BIM and Digital Twin Engineer

The Mandate

Every physical and engineering decision about our client's AI factory facilities needs to live somewhere authoritative. This role owns that authoritative source: the integrated facility model and the engineering data behind the digital twin. It's an established discipline in EPC and industrial contexts, applied here to a facility type — the AI factory — that is still new. You'll be the reason design, construction, and operations teams are all working from the same truth.

What You'll Own

- The integrated BIM facility model spanning architectural, MEP, and process systems

- The engineering data model underlying the digital twin

- Coordination with EPC, contractor BIM groups, and industrial digital-twin teams to keep the model current through construction and operations

- Data integrity and structure standards so the twin remains a reliable operational tool, not a static design artifact

What Good Looks Like in Year One

A live, accurate digital twin that design, construction, and operations teams actively rely on and trust as the system of record.

Who You Are

- Established BIM engineering background, ideally with exposure to industrial or data center facility types

- Experience with digital twin implementations connecting design data to operational systems

- Comfortable working across EPC firms, contractors, and internal engineering — this role sits at the intersection of all three

- Experience in Indonesia is a primary search focus for this role given the parent-company footprint, though not an absolute requirement for Bellevue-based candidates

Compensation & Structure

Compensation can include Base Salary, Signing Bonus, Short-Term Incentive (STI), and Long-Term Incentive (LTI). Total annual compensation ranges from $175,000 - $275,000+ DOE

About Our client

Our client is building next-generation AI factory infrastructure, backed by global industry leaders. This is a from-the-ground-up build: a new Bellevue, WA engineering hub tasked with standing up the technical foundation for large-scale AI infrastructure. Early hires on this team will define the architecture, standards, and operating model the company runs on for years.