AI Product Engineer Microsoft Power Platform AU Construction Hybrid

ConnectOS; Mandaluyong; Hybrid; PHP 600,000 - 800,000; Full time

Benefits offered by this job

Hybrid Work Arrangement

Medical, Dental Coverage

Paid Vacation and Sick Leave

Competitive salary package

Financial Assistance Program

13th Month Pay

Complimentary Sleeping Quarters

Complimentary Office Fitness

Regular Company Events

Career growth opportunities

Job summary

ConnectOS is looking for an AI Product Analyst to drive improvements in their AI-powered customer response system, automating quote generation. This hybrid role requires skills in data engineering, AI/LLM concepts, and strong communication with stakeholders.

The ideal candidate will design experiments, implement business logic, and continuously refine the system while enjoying benefits like medical coverage, paid vacation, and career growth opportunities, all in a great workplace environment at

Qualifications

• Experience with data platforms and ability to pull and consolidate data.
• Foundational experience with machine learning to apply in the system.
• Strong communication skills to work with business stakeholders.

Responsibilities

• Build and maintain a flexible data layer from multiple backend systems.
• Implement business logic and translate rules into algorithms.
• Run experiments and design A/B tests to validate hypotheses.
• Improve AI/LLM outputs through context engineering and prompt design.
• Partner with business stakeholders and participate in check-ins.

Skills

Data engineering

AI/LLM skills

SQL proficiency

Python programming

Machine learning

A/B testing

Communication skills

Tools

Microsoft Fabric

Azure Synapse

Databricks

ClickHouse

Microsoft Power Platform

Copilot Studio

Job description

Job Description:

Schedule: Monday to Friday (7:00AM - 4:00PM PHT)

Hybrid: 3x per week onsite

What are we looking for?

We are seeking an AI Product Analyst to drive the next iteration of an AI-powered customer response system. The system automates quote generation for equipment enquiries, and we need someone who can improve its intelligence over time - making it smarter about availability, pricing, and customer context.

This is a hands‑on role that blends data engineering, experimentation, and AI/LLM skills. You will work closely with business stakeholders, run iterative experiments, and continuously refine the system based on feedback and data. The ideal candidate is curious, pragmatic, structured in their thinking, and comfortable operating in ambiguity.

What we are looking for?

• Systems thinking and structured execution - ability to see how pieces connect, decompose problems into chunks, and maintain disciplined ways of working (plans, notes, status updates, stakeholder alignment)
• Experience with data platforms such as Microsoft Fabric, Azure Synapse, Databricks, or ClickHouse - ability to pull, transform, and consolidate data from multiple sources
• Proficiency in SQL and at least one programming language (Python preferred)
• Foundational experience with machine learning (prediction, classification) - you will apply this as the system matures beyond rules‑based logic
• Familiarity with Microsoft Power Platform (Power Apps, Power Automate) and ideally Copilot Studio
• Understanding of AI/LLM concepts: system prompts, context engineering, grounding, and prompt design
• Experience designing and running experiments (A/B testing, hypothesis validation, iterative improvement)
• Strong communication skills - ability to work directly with business stakeholders and translate technical concepts

Nice to Have:

• Comfortable working autonomously in an ambiguous, fast‑moving environment
• Background in equipment hire, rental, logistics, or similar operational domains
• Familiarity with pricing optimization or revenue management concepts
• Experience working with Australian clients or in Australian time zones

What will you do?

• Build and maintain a flexible data layer: Consolidate data from multiple backend systems into a unified view using tools like Microsoft Fabric or ClickHouse. Create flag tables and calculated fields that enable rapid rule changes without developer dependency.
• Implement and refine business logic: Translate business rules (such as equipment availability, status flags, date calculations, and pricing logic) into working algorithms. Start with rules‑based approaches, then progressively add sophistication through machine learning and predictive models as the system matures.
• Run experiments and measure impact: Design and execute A/B tests to validate hypotheses around availability rules, pricing strategies, and response quality. Track metrics, analyse results, and iterate based on evidence.
• Work within Power Platform and Copilot Studio: Connect data sources and business logic to existing AI tools built on Microsoft Power Platform. Understand how to configure and extend Copilot Studio solutions.
• Improve AI/LLM outputs: Apply context engineering and prompt design to improve the quality of AI-generated responses. Understand system prompts, grounding, and how to tune LLM behaviour for business outcomes.
• Maintain structured ways of working: Decompose complex problems into manageable chunks. Maintain clear documentation of plans, experiment notes, status updates, and evolving thinking. Follow a disciplined rhythm of plan → do → learn → next. Keep stakeholders aligned through regular communication - no surprises.
• Partner with business stakeholders: Participate in fortnightly check‑ins with operational teams. Gather feedback, explain trade‑offs, and translate business needs into technical experiments. Communicate progress clearly and build trust through delivery.

Join the awesome team and enjoy these benefits & perks:

• Hybrid Work Arrangement
• Medical, Dental Coverage and Life insurance from day 1 of employment
• Paid Vacation and Sick Leave (with Quarterly Sick Leave Conversion)
• Competitive salary package and annual appraisal
• Financial Assistance Program
• Mandatory Government Benefits and 13th Month Pay
• Complimentary Sleeping Quarters, Coffee at no cost
• Complimentary Office Fitness and Wellness Facilities at no cost
• Regular Company Events, Work Life Balance, and Career growth opportunities
• Accessible location at the heart of Metro Manila --- the Mega Tower, EDSA

ConnectOS is certified as a Great Place to Work and is a top‑rated Philippines employer of choice.

Equal Employment Statement

Employment decisions at ConnectOS will be conducted without consideration of factors such as age', race, color, religion, gender, disability status, sexual orientation, gender identity or expression, genetic information, and marital status. ConnectOS ensures the full confidentiality of the data it processes.