Job Title

Why We Are Building the AI Tech Team MMoser is building the AI Tech Team because we believe the future of professional practice will increasingly belong to hybrid human/AI professionals, and because AI itself is moving rapidly into a more agentic age. By hybrid human/AI professionals, we do not mean people who casually use AI tools. We mean professionals whose thinking, workflow organization, visual interpretation, structured analysis, communication, and day-to-day effectiveness are meaningfully strengthened through AI, while human judgement and accountability remain central. By the agentic age of AI, we mean the shift from simple prompting toward AI systems that can carry out multi-step tasks, coordinate workflows, assemble outputs, and support real professional work in more a Job Role: Forward Deployed Engineers Location: Vancouver, Canada (Location in the country is flexible) Work where real expertise meets agentic capability Role Overview The Forward Deployed Engineers are the part of the AI Tech Team that stays closest to live professional practice. Their role is to work with: architects commercial leaders construction professionals They observe real work, identify where AI can create value, and convert those insights into: tools workflows and increasingly agent-supported methods that can be used more broadly across the firm. What This Role Is (and Is Not) This is: A practice-embedded capability role A bridge between real work and AI systems A builder role focused on useful outcomes This is NOT: A remote innovation lab role A replacement for design or engineering professionals Forward Deployed Engineers do not do project work themselves. They help the firm learn from project work and build capability around it. Core Mission As AI moves into a more agentic phase, the role shifts from simple prompting to: redesigning workflows improving coordination You will help answer questions like: How can design teams think through options better? How can engineers structure decisions more clearly? How can project leaders review issues more effectively? How can commercial clarity be improved? Key Responsibilities Work closely with project teams to observe real workflows Identify where AI can create practical value Develop tools, workflows, and agent patterns Translate local insights into firm-wide capability Collaborate with the Central AI Platform R&D Group Feed useful practices into broader adoption via the Help Desk #J-18808-Ljbffr