AI Agent Architect & MAS Orchestration

PENBROTHERS

Philippines

Hybrid

PHP 1,100,000 - 2,000,000

Full time

4 days ago
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Job summary

Penbrothers is seeking an AI Operations & Agent Engineering Specialist to design, build, and operate a multi-agent system for governance, risk, and compliance automation. You will own agent architectures, orchestration patterns, and integrations with corporate tools.

The role emphasizes reliability, scalability, and knowledge management, with a hybrid work setup in the Philippines. 2–3 years in AI-powered automation is preferred, along with strong troubleshooting and documentation skills.

Qualifications

  • 2–3 years of experience developing, configuring, operating, or supporting AI-powered automation or LLM-based solutions.
  • Hands-on experience with AI agents, prompt engineering, workflow design, and troubleshooting AI system behavior.

Responsibilities

  • Multi-Agent System Development: design, build, and maintain AI agents for governance, compliance, and knowledge workflows.
  • AI Agent Platform Operations: deploy, configure, and maintain agents across development, test and production environments.
  • Agent Troubleshooting & Reliability Engineering: investigate failures, root-cause analyses, and implement fixes.
  • AI Integration Engineering: build and maintain integrations with enterprise tools and data sources.

Skills

AI agent development
Prompt engineering
Troubleshooting AI systems
API integration
Documentation

Tools

Microsoft Copilot Studio
Microsoft Power Platform
Azure AI Services
Enterprise LLM platforms
REST APIs
Microsoft Graph
SharePoint
Confluence
GitHub

Job description

Penbrothers is seeking an AI Operations & Agent Engineering Specialist to design, build, and operate a multi-agent system for governance, risk, and compliance automation. You will own agent architectures, orchestration patterns, and integrations with corporate tools.

The role emphasizes reliability, scalability, and knowledge management, with a hybrid work setup in the Philippines. 2–3 years in AI-powered automation is preferred, along with strong troubleshooting and documentation skills.

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