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AI Automation Specialist

Job in Sacramento, Sacramento County, California, 95828, USA
Listing for: RSS.
Full Time position
Listed on 2026-07-10
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Data Engineering
Salary/Wage Range or Industry Benchmark: 97300 USD Yearly USD 97300.00 YEAR
Job Description & How to Apply Below

Job Details

Location:

Rex Moore - Sacramento, CA 95828

Position Type:
Full Time

Salary Range: $97,300.00 - $ per year

Travel:
Negligible

Shift: Day

About the Company

Rex Moore is powered by amazing employees for over 100 years, building safe, comfortable, sustainable solutions across national territories.

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.

Key Responsibilities 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, 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.
Operational Data:
Capture, Transform & Activate
  • 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.
Enterprise Deployment, Enablement & Training
  • 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.
Scripting & Custom Development
  • 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.
Qualifications
  • Hands‑on experience building business automations and integrations using modern workflow and automation platforms (such as n8n, Power…
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