AI Implementation Specialist; Construction Technology - St Louis St Louis

AI Implementation Specialist (Construction Technology) - St Louis

Location:

Remote (US only) + 60–80% travel to jobsites nationwide. In practice, this probably looks like 1-2 days traveling each week or bi-weekly throughout the year.

We partner with large design-build companies (~$10B revenue) that employ thousands of project engineers and project managers running complex jobsites across the country. Human Agency is building custom AI tools and strategies to make those teams dramatically more effective. The missing piece is someone who lives in the field, understands how construction actually works, and can connect the dots between emerging technology and real jobsite needs.

That’s this role. You’ll travel to active jobsites, shadow project teams, and develop a deep, current picture of how work gets done, where it breaks down, and where technology can genuinely help. You’ll be the person who’s wildly up to speed on everything happening in construction technology — from autonomous equipment to AI-assisted estimating to reality capture — and can evaluate where each piece might actually fit in the real workflows you’re observing.

You carry two mandates.
Enablement: helping field teams understand and leverage AI tools to work better, faster, and smarter.
Intelligence: capturing expert knowledge from the people who actually build things, understanding the technology landscape with depth and nuance, and feeding those insights directly into Human Agency’s venture studio and product roadmap. Your perspective shapes what we build, who we invest in, and how we think about making our design-build partners great.

• Conduct structured job shadows of Project Engineers, Project Managers, and superintendents across project types — healthcare, industrial, data centers, commercial — to map how work actually flows day-to-day and where the friction, waste, and brilliance live.
• Extract and codify expert knowledge from experienced construction professionals. The people you shadow know things that aren’t written down anywhere. Your job is to capture that institutional intelligence and make it an asset.
• Synthesize field observations into actionable briefs for Human Agency’s venture studio and product teams, directly informing what to build, what to invest in, and where the biggest opportunities are.
• Build and maintain a living knowledge base of construction workflows, pain points, and technology gaps across our design-build partners’ project portfolios.
• Identify systemic patterns across jobsites and project types that point to high-leverage opportunities for technology intervention or process improvement.
• Maintain comprehensive, current knowledge of the construction technology landscape. You should have an informed opinion on every major platform, startup, and emerging capability in the space.
• Evaluate emerging technologies like Bedrock Robotics (autonomous heavy equipment), reality capture tools, AI co-pilots for estimating and scheduling, and next-generation project management platforms against real jobsite needs you’re observing firsthand.
• Develop technology fit assessments: given what you see in the field, where could a given tool actually create value vs. where would it be shelfware? Your judgment on this is the product.
• Brief Human Agency and client leadership on contech trends, investment-worthy companies, and technology bets with a practitioner’s perspective, not a vendor’s pitch.
• Contribute directly to Human Agency’s venture studio thesis on where the AEC industry is heading and which technology gaps represent real opportunities.

• Help jobsite teams understand and adopt AI-assisted workflows that Human Agency has built for the client — tools for submittals, change orders, RFP assessment, meeting synthesis, quality knowledge, and more.
• Run hands-on coaching sessions (1:1, small group, lunch-and-learns) that translate AI capabilities into construction language. You’re teaching a PM how this saves them an hour on submittals, not lecturing about large language models.
• Identify the highest-leverage AI use cases for specific roles…