AI Architect

Paul Davis Restoration of North Florida

2d•$150,000 - $200,000•Remote

About The Position

We aren't just deploying models; we’re architecting the intelligence that will define our industry’s next decade. We’re looking for a visionary AI Architect to move beyond the 'what if' and design the 'what's next'. We are seeking a hands-on technical leader who bridges the gap between AI innovation and practical business applications to design, integrate, and scale AI-powered systems that enhance field operations, automate repetitive tasks, and drive efficiency across our restoration business. You will work at the intersection of machine learning, enterprise platforms, and operational systems to deliver AI tools that impact real-world workflows. This role will partner with both internal teams and external vendors to evaluate and implement the best technologies for our needs. You work autonomously in a startup-style environment within a larger organization, partnering with IT, operations, and business leaders to deliver secure, compliant AI solutions.

Requirements

5+ years in machine learning, enterprise architecture, or AI/ML engineering roles
Demonstrated experience working with LLMs, OpenAI APIs, and prompt engineering
Strong technical skills in Python, REST APIs, Azure/GCP, and enterprise data architectures
Familiarity with systems integration (e.g., Xactimate, custom CRMs, etc.)
Experience working cross-functionally with IT, operations, and business leaders
Ability to work autonomously in a startup-style environment within a larger organization

Nice To Haves

Experience in construction, restoration, or adjacent industries
Background in field operations or understanding of restoration workflows
Experience with vector databases, embedding models, and RAG pipelines
Track record of deploying AI solutions that improved operational efficiency

Responsibilities

Architect and implement AI solutions using OpenAI, Microsoft Copilot, and enterprise tools
Build and integrate data pipelines connecting internal systems like Xactimate, Cotality RMS (DASH), and custom data warehouses
Design scalable AI agent workflows using approved enterprise platforms and secure APIs
Collaborate with multiple teams to translate roadmap priorities into technical blueprints
Evaluate third-party tools (e.g., XTGlobal, Glean) and partner on implementation and integration
Partner with IT on governance, model risk, and data privacy to ensure SOC2, GDPR, and internal standards
Tune models and prompt flows based on real-time field feedback to improve adoption and utility
Contribute to long-term AI infrastructure design including vector databases, embedding models, and RAG pipelines when applicable