APPLIED AI SPECIALIST

About the role

The Applied AI Specialist uses artificial intelligence to solve practical business problems. The work is applied rather than theoretical: building tooling that assembles reporting from the company's corporate operating systems so that business analytics improve, and developing tools that make each department's day-to-day work move faster and with better information. This is an individual contributor position for someone who can take a defined problem and deliver a working, documented, production-ready solution. The Director of Business Intelligence sets departmental technical standards and carries governance and vendor decisions. Within those standards the person in this seat owns the design of their assigned solution areas.

Responsibilities

• Build tooling that assembles reporting from the company's corporate operating systems and provides for better business analytics.
• Develop artificial intelligence tools that provide for more efficient workflows within each department's function.
• Design, build, test and deploy agents and assistants that automate research, document review and report preparation.
• Prototype quickly, measure each result against the process it replaces, and either harden it for production or retire it.
• Extract structured data from construction documents (drawings, specifications, contracts, submittals, schedules and meeting transcripts) using vision-capable and language models, so that downstream scheduling, estimating, contract and risk tools answer from the project record rather than from general knowledge.
• Write and maintain the integrations required to connect the company's platforms to one another and to artificial intelligence services.
• Design and maintain retrieval pipelines over company documents and project data, so that tooling answers from the company's own information rather than from general knowledge.
• Work with the Director on the company data warehouse, including ingestion, modeling and the interfaces that tooling queries against.
• Maintain source control, environment configuration, testing and deployment practice for everything built.
• Build and maintain connectors to the company's platforms using open agent protocols (Model Context Protocol or equivalent), reusable agent skills