Strong UI/UX instincts - can produce functional, clean interfaces without a design team Strong communication skills; equally comfortable in a whiteboard session with leadership or a working session with project teams Self-directed; thrives in ambiguous environments where the playbook doesn't exist yet Preferred Qualifications Familiarity with large-scale construction, real estate, or capital programs Experience with enterprise AI tools like Glean or similar knowledge management platforms Exposure to MCP (Model Context Protocol) frameworks and multi-agent architectures Prior experience shipping internal tools in a non-engineering business unit Track record of upskilling peers or running internal training on new technologies #LI-Hybrid Pay Disclosure The salary range for this role is USD 98,500 - 130,480 for Georgia based applicants. Responsibilities Build & Deploy Build internal applications, AI agents, and workflow automations using LLM-assisted development tools (Cursor, Gemini, Claude, Glean, etc.) targeting specific Facilities pain points - manual reporting, data entry, schedule tracking, cost reconciliation - with a focus on quantifiable time and cost savings Stand up no-code and low-code solutions, maintainable by non-technical team members where speed and simplicity are prioritized over engineering complexity Connect Facilities data sources (ACC, Procore, Kahua, FOS, Databricks) via APIs to support intelligent workflows that unify siloed information Own the Full SDLC by applying traditional product development rigor to AI-generated code.