AI Operations Architect: Drive Efficient Tool Deployments

Klaiya; Manila; On-site; PHP 700,000 - 1,000,000; Full time

Job summary

Klaiya is seeking an AI Operations Specialist to manage and optimize AI-powered processes and coordinate cross-functional workflows from Manila. You will implement strategic projects to enhance efficiency and tailor AI tools to business needs, working closely with sales and client teams.

The role requires hands-on AI tool deployment experience, strong communication skills, and an operations-first mindset suitable for a fast-paced startup environment.

Qualifications

• Proven experience deploying AI tools in real business environments (beyond academic/personal projects).
• Fluency with multiple AI tools and prompt engineering capabilities.
• Strong communication to explain AI concepts to non-technical stakeholders.
• Operations-first, process-driven approach with SOP focus.
• Able to manage multiple projects in a fast-paced startup.
• Based in or willing to relocate to Metro Manila (Binondo, Manila - onsite).

Responsibilities

• Manage and optimize AI-powered processes and tools on a day-to-day basis.
• Coordinate operational workflows and drive strategic AI projects across teams.
• Analyze AI performance and report insights to improve efficiency.
• Support sales and client initiatives from an operational perspective.
• Ensure AI tools are tailored to business needs and onboarding processes.

Skills

AI deployment experience

Claude/ChatGPT prompt engineering

n8n/Make automation

Notion AI

Google Workspace AI

Dify/Coze agent building

Communication skills

Operations mindset

Self-starter

Onsite in Metro Manila

API integration

Python basics

Tools

APIs & Webhooks

Python basics

Job description

Klaiya is seeking an AI Operations Specialist to manage and optimize AI-powered processes and coordinate cross-functional workflows from Manila. You will implement strategic projects to enhance efficiency and tailor AI tools to business needs, working closely with sales and client teams.

The role requires hands-on AI tool deployment experience, strong communication skills, and an operations-first mindset suitable for a fast-paced startup environment.