AI Engineer

About ICON Builders

ICON Builders
is a 30+ year general contractor specializing in occupied affordable housing renovations. We've rebuilt or renovated over 25,000 homes—including 13,500 HUD units—partnering with leading developers, architects, and housing agencies to
Rebuild Lives
through high-quality, on-time construction

Position Summary

This is more than an engineering position. This role supports ICON's broader goals in reducing project cycle time, improving compliance consistency, and scaling quality across multi-state operations.

This role bridges the gap between business/operations (field, project delivery, estimating, safety, quality) and AI/data science/technology, ensuring that AI-capabilities deliver measurable value (cost, schedule, safety, quality, productivity) within the construction context.

You're joining a company that sets the standard in affordable housing renovation. ICON Builders is the gold standard, known for delivering projects that meet the highest marks in quality, compliance, and construction execution.

As part of a fast-growing Innovation team, you'll develop AI/ML solutions and copilots integrated with Procore, SharePoint, and our intranet to streamline workflows, surface insights, and strengthen operational execution. These tools will make our teams faster, sharper, and more effective, helping to identify scope gaps, benchmark bids, generate submittals, keep projects on schedule, and connect teams to the knowledge they need when they need it.

These tools won't just improve internal workflows, they will directly improve the final product our clients receive, and ultimately, the homes our residents live in.

Key Responsibilities

• Develop and execute the AI roadmap for construction systems (e.g., project planning & scheduling, site monitoring, quality/safety automation, predictive maintenance of equipment, supply chain/logistics optimization).
• Work closely with executive leadership (e.g., VP Construction / COO / CFO) to align AI initiatives with company strategic goals (e.g., productivity improvement, risk reduction, sustainability, digital transformation).
• Identify and prioritize high-impact use cases in the construction domain (for example: automated defect detection from site imagery, schedule delay prediction, materials logistics optimization, generative design, risk modelling) — drawing from construction domain knowledge and AI potential.

AI Model Development & Copilots

• Develop AI Models: Build machine learning and language-based tools to support core project workflows.
• Copilot Design: Create AI-powered assistants that support teams across construction, operations, and estimating.
• Agent Integration: Program automation agents to assist with repeatable workflows, documentation, and task routing.

Document Processing & Automation

• Document Intelligence: Develop systems to extract and structure data from project documents, drawings, and contracts.
• Process Efficiency: Identify and automate key document-based workflows across teams.
• SOP Knowledge System: Build a searchable, AI-enhanced repository of SOPs and process documents to support project execution.

Reporting, Dashboards & Analytics

• Data Integration: Consolidate internal project, financial, and estimating data into centralized systems for analysis.
• Dashboards: Create user-friendly dashboards for tracking key project metrics in real time.
• Benchmarking & Insights: Analyze historical data to inform decision-making and improve project performance.
• Automated Reporting: Enable timely and consistent reporting through scheduled alerts and summaries.
• Success in this role will be measured by solution adoption, measurable time savings in project workflows, and improved accuracy and consistency in project data.

Data Governance and Quality

• Data Standards: Define and uphold standards for data accuracy, consistency, and completeness.
• Lineage & Documentation: Maintain data dictionaries, ownership, and history across platforms.
• Security & Access: Ensure appropriate access controls and compliance with internal policies.
• This role will help improve data consistency and structure across platforms like Procore, SharePoint, and ERP tools to enable AI systems to operate effectively.
• The AI Engineer will support responsible data and AI governance, ensuring systems are accurate, secure, and meet ICON's quality and compliance standards.

Collaborating Across the Organization

• Work closely with our IT team.
• Cross-Functional Engagement: Partner with teams in construction, estimating, operations, and finance to identify and prioritize opportunities.
• Training & Support: Guide teams in adopting AI tools through hands-on demos, documentation, and training.
• System Integration: Build and maintain integrations between core platforms (e.g., Procore, SharePoint, Teams).
• Internal Tools & Knowledge: Enhance internal platforms with AI-driven capabilities that improve team productivity.

Applicant Note:

Construction experience is preferred but not required. What matters most is your ability to understand what we do, and to think holistically about how your skills can contribute to the way we operate, deliver, and scale.

Before applying, take time to explore our website ) to understand our mission and project work. Also visit

to learn about the use of AI in Procore, our Construction Management system.

• Be prepared to join us in the interview ready to share how your background in AI and data-driven tools will improve the way we work and deliver for clients. We are looking for someone who brings ideas, takes initiative to build and implement them, and helps guide our teams in using the tools you create to ensure long-term impact and adoption.