AI Product Engineer – Power Platform & ML for Smart Quotes

ConnectOS; Mandaluyong; Hybrid; PHP 600,000 - 900,000; Full time

Benefits offered by this job

Hybrid Work

Medical Insurance

Sick Leave

Salary & Appraisal

Financial Support

13th Month Pay

Sleeping Quarters

Coffee

Fitness & Wellness

Company Events

Metro Manila Location

Job summary

ConnectOS is seeking an AI Product Analyst in Metro Manila to drive an AI-powered customer response system. You’ll blend data engineering, experimentation, and AI/LLM skills, collaborating with business stakeholders to improve availability, pricing, and context-aware responses.

This is a hands-on role with hybrid work, 3 days onsite. Responsibilities include building a unified data layer from multiple sources, translating business rules into algorithms, running A/B tests, and extending Copilot

Qualifications

• Structured thinking and execution across complex problems.
• Experience pulling, transforming, and consolidating data from multiple sources.
• Strong SQL and at least one programming language (Python preferred).
• Foundational experience with machine learning (prediction/classification).
• Familiarity with Power Platform and Copilot Studio.

Responsibilities

• Build and maintain a flexible data layer by consolidating data from backend systems.
• Translate business rules into algorithms and progressively add ML sophistication.
• Design and run experiments (A/B tests, hypothesis validation) and measure impact.
• Configure and extend Copilot Studio solutions within Power Platform.
• Improve AI/LLM outputs through context engineering and prompt design.
• Maintain disciplined documentation and stakeholder alignment.

Skills

Systems thinking

SQL

Python

ML basics

Power Platform

Copilot Studio

AI/LLM concepts

Experiment design

Communication

Tools

Microsoft Fabric

Azure Synapse

Databricks

ClickHouse

Job description

ConnectOS is seeking an AI Product Analyst in Metro Manila to drive an AI-powered customer response system. You’ll blend data engineering, experimentation, and AI/LLM skills, collaborating with business stakeholders to improve availability, pricing, and context-aware responses.

This is a hands-on role with hybrid work, 3 days onsite. Responsibilities include building a unified data layer from multiple sources, translating business rules into algorithms, running A/B tests, and extending Copilot