AI Automation & Implementation Specialist

Wealth Creators

Metro Manila

On-site

PHP 900,000 - 1,500,000

Full time

5 days ago
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Job summary

Wealth Creators is seeking an AI Automation & Implementation Specialist to design, build, and continuously improve an AI-powered operating system across our businesses. This role goes beyond a basic assistant; you will architect agents, automation, APIs, and integrations to make our organization more efficient and scalable.

You will develop AI agents, integrate OpenAI/Claude models, connect apps, build dashboards and knowledge bases, and ensure human-in-the-loop processes where needed.

Qualifications

  • Strong experience with AI automation and systems integration.
  • Ability to analyze business processes and design scalable automation.
  • Proven troubleshooting and monitoring of automation workflows.
  • Experience documenting system architecture and dependencies.

Responsibilities

  • Develop AI agents and automated systems to support business functions.
  • Create automations using n8n, Make, Zapier, APIs, and webhooks.
  • Integrate AI models (OpenAI, Claude) into workflows.
  • Connect multiple apps to enable seamless data flows.
  • Build dashboards, reports, and KPI monitoring.
  • Document architecture and maintainable processes.
  • Implement human-in-the-loop where approvals are required.

Skills

AI automation
Systems thinking
Workflow analysis
Troubleshooting
Documentation
Python
JavaScript

Tools

n8n
GoHighLevel
OpenAI API
Claude
Make
Zapier
REST APIs
Webhooks
JSON
OAuth

Job description

AI Automation & Implementation Specialist
Build Our AI Workforce
About the Role

We are seeking a highly skilled and proactive AI Automation & Implementation Specialist to help design, build, and continuously improve an AI-powered operating system across our businesses.

This is not a basic virtual assistant role—and it is not simply a Zapier or ChatGPT position.

This role is designed for someone who understands AI agents, automation, APIs, integrations, business processes, and systems architecture and can apply that expertise to make our organization more efficient and scalable.

Our goal is to build an AI workforce: AI agents and automated systems that work alongside our human team, eliminate unnecessary manual work, connect our applications, strengthen accountability, and improve how the entire company operates.

  • AI Automation Engineer
  • Systems Architect
  • Business Process Consultant
Key Responsibilities
AI and Automation Development
  • Build AI agents or “AI employees” capable of supporting specific business functions.
  • Develop advanced automations using n8n, Make, Zapier, APIs, and webhooks.
  • Integrate AI models, including OpenAI and Claude, into business workflows.
  • Connect multiple applications to create reliable, seamless information flows.
  • Build systems that analyze information, follow defined decision rules, perform approved actions, and escape issues to the appropriate team members.
  • Integrate AI and automation solutions with GoHighLevel and other business platforms.
  • Build automated dashboards, reports, and KPI monitoring systems.
  • Develop databases and knowledge systems that AI agents can securely access.
  • Create internal AI assistants trained on company SOPs, processes, policies, training materials, and organizational knowledge.
  • Implement human-in-the-loop processes when human approval or review is required.
Business Process Improvement

A major responsibility of this position is to learn how our businesses operate and proactively identify opportunities for improvement.

You will be expected to:

  • Audit existing workflows, systems, and technology.
  • Identify repetitive or unnecessary manual work.
  • Identify bottlenecks between departments.
  • Find processes where the same information is entered multiple times.
  • Determine where applications should be connected.
  • Recommend opportunities where AI agents can replace, assist, or enhance existing processes.
  • Research and recommend appropriate AI tools and technologies.
  • Estimate potential time and cost savings.
  • Prioritize automation projects based on business impact.
  • Build approved automation and AI solutions.
  • Measure whether each solution improved business performance.

We are not looking for someone who only asks, “What do you want me to build?”

We want someone who also asks, “Why are you doing it this way, and is there a better way to accomplish it with AI?”

System Maintenance and Documentation
  • Monitor automations and identify failures before they become larger business problems.
  • Troubleshoot and resolve system, integration, and data-flow issues.
  • Build effective error handling, alerts, and recovery processes.
  • Maintain and continuously improve existing automations.
  • Document system architecture, workflows, logic, dependencies, and maintenance procedures.
  • Ensure systems are understandable and maintainable by other team members.
Potential AI Systems and Projects

Examples of systems we want to build include:

AI Operations Assistant

Monitors workflows, deadlines, assignments, and incomplete tasks and alerts leadership when attention is required.

AI Reporting and KPI Analyst

Collects data from multiple systems, analyzes performance, identifies trends or concerns, and automatically generates management reports.

AI Lead Qualification Agent

Analyzes and scores incoming leads, updates the CRM, assigns leads to the appropriate team member, and initiates the correct follow-up process.

AI Follow-Up Agent

Tracks leads and outstanding tasks and automatically triggers follow-up actions when required activities have not occurred.

AI Recruiting Assistant

Supports applicant screening, qualification analysis, candidate organization, interview scheduling, and recruiting pipeline management.

AI Marketing Analyst

Analyzes marketing performance across platforms and identifies trends, opportunities, and potential concerns.

AI Quality-Control Agent

Reviews processes, records, or completed work against established standards and flags potential issues for human review.

AI Knowledge Assistant

Answers employee questions using the company’s SOPs, policies, training resources, and internal knowledge.

These are examples only. The person in this role will also be expected to identify additional opportunities.

Required Skills and Experience

Candidates should have strong experience with:

  • n8n — highly preferred
  • GoHighLevel
  • OpenAI API and ChatGPT
  • Claude and the Anthropic API
  • Make and/or Zapier
  • REST APIs
  • Webhooks
  • JSON
  • OAuth and API authentication
  • Python and/or JavaScript
  • Databases and data management
  • Error handling, monitoring, and troubleshooting
  • Business workflow analysis
  • Technical documentation
Strongly Preferred Experience

Experience with any of the following would be a strong advantage:

  • AI agents and agentic workflows
  • Retrieval-Augmented Generation (RAG)
  • Supabase
  • PostgreSQL
  • Airtable
  • Vector databases
  • Pinecone, Qdrant, or pgvector
  • Model Context Protocol (MCP)
  • Voice AI
  • Vapi
  • Retell AI
  • ElevenLabs
  • Twilio
  • AI knowledge bases
  • Prompt engineering
  • CRM architecture
  • Automated dashboards and reporting
  • Human-in-the-loop AI systems

You do not need to know every tool listed above.

We care most about your ability to understand a business problem, design the right solution, and determine how to build, implement, and maintain it.

What We’re Looking For

The ideal candidate:

  • Is proactive, curious, and solutions-oriented.
  • Can understand both technical systems and business operations.
  • Regularly looks for ways to improve inefficient processes.
  • Can independently identify automation opportunities.
  • Approaches challenges with a systems-thinking mindset.
  • Understands how data moves across applications.
  • Builds reliable solutions with monitoring and error handling.
  • Can communicate technical ideas clearly to non-technical stakeholders.
  • Prioritizes solutions based on measurable business impact.
  • Takes ownership of projects from discovery through implementation and continuous improvement.

We want someone who naturally thinks:

“There has to be a better way to do this.”

Then figures out how to build it.

Final Application Challenge

At the end of your application, briefly explain how you would architect a solution for the following scenario:

We receive leads from multiple marketing sources into GoHighLevel. We want AI to:

  • Analyze and score each lead.
  • Determine which team member should receive the lead.
  • Update the CRM and assign the lead.
  • Trigger the appropriate communication.
  • Track whether the assigned team member completes the required follow-up.
  • Automatically initiate additional follow-up when appropriate.
  • Provide management reporting on lead sources, appointments, conversions, team performance, and potential problems.

You do not need to build the solution. Briefly explain the proposed system architecture, applications or technologies you would use, how the data would flow, and how you would handle errors and human approval points.

We are not simply looking for someone who knows how to use AI tools.

We are looking for someone who can help us build the AI infrastructure that makes our entire company operate better.

Relevant Skills
  • API Development
  • Artificial Intelligence
  • AI Automation
  • Systems Integration
  • Business Process Automation
  • GoHighLevel
  • n8n
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