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AI Automation Specialist; remote in CA)

Remote / Online - Candidates ideally in
Sacramento, Sacramento County, California, 95828, USA
Listing for: Paycom - ATS
Full Time, Remote/Work from Home position
Listed on 2026-10-07
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Data Engineering
Salary/Wage Range or Industry Benchmark: 140000 - 160000 USD Yearly USD 140000.00 160000.00 YEAR
Job Description & How to Apply Below

Job Details:

Job Location:

Rex Moore
- Sacramento
- Sacramento, CA 95828, Position Type:
Full Time, Salary Range: $ - $ Salary/year,

Travel Percentage :
Negligible,

Job Shift: Day,

Work Schedule:

Remote in CA

About Us:

Rex Moore continues to be powered by amazing employees just like you for over 100 years. Together we are building a world that is safe, comfortable, and sustainable. Our diverse team of experts spreading to National territories create innovative, integrated solutions to make cities more connected, buildings more intelligent and environments more comfortable and secure.

Job Overview:

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.

Key Responsibilities and Essential Tasks:

Automation & Workflow Optimization
  • 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
Integrations & Connectors
  • 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
AI Tools, LLM Management & Prompting
  • 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,…
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