AI Architect

 Posted 15 hours ago
     
5-10 years experience
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AI Summary

Design and build an automation and intelligence platform including a lead follow-up engine and a layered AI knowledge base. The role involves translating blueprints into technical milestones and delivering maintainable, documented systems.

AI Architect — Automation & Intelligence Platform

Company: Element Roofing
Location: Carmel, IN (or remote)
Type: Contract / Full-time


About the role

Element Roofing is building a company-owned automation and intelligence platform that captures every lead, follows up relentlessly and intelligently, books appointments, and gives leadership verified answers about sales, marketing, and financial performance from a single source of truth. We're looking for an AI Architect to own the design, build, validation, and handoff of these systems. This is a senior, accountable role: you'll set the technical direction, make and document architectural decisions, and deliver systems that are correct, compliant, and maintainable by our team long after the build.

What you'll own

  • Translate our implementation blueprint into sequenced technical work and deliver against clear 30/60/90-day milestones.
  • Build a GoHighLevel lead follow-up and automation engine — multi-channel outreach (SMS, email, AI voice), conversational AI that books and handles objections, lifecycle funnels, and rep routing.
  • Build a layered AI knowledge base ("business brain") that answers questions with cited sources, integrating Loom/Drive content, JobNimbus, QuickBooks, and ad-platform data.
  • Build performance and objection dashboards, a lead-scoring/routing model, and end-to-end marketing attribution from ad click to closed revenue.
  • Validate every system against real data before expanding it, and hand off each with documentation so our team can run and edit it independently.

What we're looking for

  • Strong experience architecting and shipping AI-driven automation and data integration systems in production.
  • Hands-on with API integrations (e.g., GoHighLevel, JobNimbus, QuickBooks, Meta/Google Ads), webhooks, and scheduled data pipelines into a central database.
  • Experience building LLM/assistant query layers and retrieval over documents and business data.
  • A practical, validate-before-expanding mindset; comfortable calibrating models against real cases and reconciling outputs to trusted reports.
  • Knowledge of SMS/A2P compliance, PII handling, and least-privilege data security.
  • Clear communicator who documents decisions, demonstrates working systems, and escalates trade-offs early.

How we work

Fast and deliberate, with a weekly review cadence, concise async updates, and acceptance by demonstrating systems running in production. You'll own the platform's direction while keeping it transparent, auditable, and fully company-owned.

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