AI Automation Specialist

RSS, LLC.•Florin, CA

8d•$97,300 - $156,400•Onsite

About The Position

The AI & Automation Specialist is a hands-on, execution-focused role responsible for building and operating the automations, integrations, and AI-powered workflows that make Rex Moore more efficient. Working under the direction of the Director of Operational Intelligence & Automation, you will turn defined priorities into working systems — connecting tools, automating processes, and putting AI to work on real business problems. We are modernizing our enterprise technology, and we are looking for someone ready to grow with us. You should be comfortable learning and working across modern ERP, CRM, and enterprise platforms, with a strong foundation in the durable skills that transfer across any tool: building connectors and integrations, designing automations, and working effectively with APIs and data. Rather than mastery of one specific stack, we value adaptability, curiosity, and the ability to pick up new systems quickly. On the data side, this role works at the front of the stream — capturing and measuring data from field and departmental sources, transforming it into usable form, pulling what’s needed from business systems, and putting it to work intelligently through automations and AI workflows. This position is not responsible for architecting or managing the central data infrastructure; rather, it focuses on capturing operational data at the source and activating it where it creates value. This role reports to and is directed by the Director of OOIA. It suits someone energized by execution, who takes ownership of the day-to-day, and who wants to be the person who makes automation and AI work across a growing organization.

Requirements

Hands-on experience building business automations and integrations using modern workflow and automation platforms (such as n8n, Power Automate, Make, Zapier, or comparable tools)
Experience connecting systems via APIs, webhooks, and connectors, and working with structured data (JSON)
Practical experience using AI / LLM tools — connecting them to workflows, writing effective prompts, and managing integrations
Python proficiency: scripting, API calls, JSON handling, data transformation, error handling
Ability to capture, transform, and work with data from multiple sources
Comfort learning and working across modern ERP, CRM, and enterprise platforms — adaptable and quick to pick up new tools
Strong troubleshooting skills and a self-directed, execution-oriented work style
Clear communication and the ability to teach non-technical colleagues how to use new tools

Nice To Haves

Experience with AI provider APIs in production workflows
Experience with ERP and/or CRM integration and automation
SQL or other database query experience
Experience supporting enterprise tool rollouts and user adoption / training
Familiarity with responsible-AI and data-handling practices
Version control experience (Git)
Background or interest in construction, contracting, or project-based industries

Responsibilities

Build, operate, and continuously improve automations across business functions — capturing data, routing work, handling documents, and streamlining approvals and operational processes
Identify daily friction points and manual processes and implement practical automations that save time and reduce error
Own the day-to-day health of deployed automations: monitor, troubleshoot, and resolve issues quickly
Prioritize and execute automation work as directed, while bringing forward your own ideas for what to improve next
Build and maintain integrations that connect business systems — ERP, CRM, and other enterprise platforms — so that data and processes flow smoothly between them
Work fluently with APIs, webhooks, and structured data (JSON) to connect tools that weren’t designed to talk to each other
Build and configure workflows and connectors on modern automation platforms (such as n8n, Power Automate, Make, or similar); select the right integration approach for reliability and maintainability
Adapt quickly as our enterprise toolset evolves, building integrations on new platforms as we adopt them
Manage the organization’s AI tool integrations, connectors, and prompt libraries; keep them current and effective
Build AI-powered automations that handle real business tasks — document processing, data extraction, summarization, and decision support
Develop, test, and refine prompts and instructions for recurring AI workflows; improve output quality over time
Configure and extend AI assistant capabilities through connectors and integrations (such as MCP connectors, API integrations, or platform extensions) that let AI tools work with internal data and systems
Track AI usage, output quality, and cost across deployed workflows; flag issues and opportunities
Capture and measure data from field and departmental sources, getting it into usable, structured form
Transform and clean data so it can be used reliably in automations, reporting, and AI workflows
Pull data from business systems as needed and put it to work intelligently — surfacing insight, driving automation, and supporting decisions
Partner with the team responsible for the central data infrastructure, feeding clean operational data forward into the broader pipeline
Support the rollout and adoption of AI and automation tools across departments — configuration, onboarding, and ongoing support
Teach and support AI usage across the organization; help employees and department champions use new tools effectively and responsibly
Create user-facing guides, documentation, and training materials that non-technical colleagues can follow
Apply and help reinforce responsible-use and data-handling practices in partnership with IT
Write Python scripts to handle data transformation, API calls, file processing, and logic that off-the-shelf tools can’t handle cleanly
Work fluently with JSON and structured data across APIs and integrations
Apply good practices — version control, error handling, clear documentation — so your work can be maintained over time