AI Automation Specialist

Summary

Rex Moore Electrical & Systems Contractors & Engineers is a contractor and engineering company modernizing how it uses data, automation, and AI across its business. The AI Automation Specialist will build, operate, and improve automations, integrations, and AI-powered workflows, while supporting operational data activation, enterprise tool adoption, training, and custom scripting.

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

Skills

• 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
• 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

Qualifications

Must Haves

• 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

Benefits

• Fully remote work in California
• Health Benefits
• 401(k) with Company Match
• Life and Disability Benefits
• Paid Holidays & Paid time off
• Access to multiple types of training
• Opportunities for Self-development and Career Progression
• Wellness Benefits & Employee Assistance Program
• Family Leave (Maternity, Paternity)
• Tuition Reimbursement Program