Power Platform Architect/Developer

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📍 Philippines
📅 Posted 2026-07-30 · via Himalayas
🏷 Power-Platform-Architect,Power-Apps-Developer,Microsoft-Power-Platform-Developer,Azure-AI-Developer,Copilot-Studio-Developer,Senior-Power-Platform-Architect,Microsoft-Power-Platform-Architect,Power-Platform-Solution-Architect
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JOB DESCRIPTION

A Power Platform Architect/Developer is a key player in designing and developing innovative solutions using Microsoft Power Apps. The Power Platform Architect/Developer (PPAD) acts as the technical expert and provides strategic consultation. The PPAD aims to foster strong connections between our clients, uphold quality standards, and cultivate a unified team culture. This approach ensures meaningful outcomes through coordinated efforts across the company, our functions, roles, and specific client needs. This role requires an AI-first mindset, with responsibility for designing, building, and governing Copilot- and agent-driven solutions across the Microsoft Power Platform and Azure AI ecosystem.
EXPECTED OUTCOMES

- Deliver successful Power App solutions that meet client requirements

- Drive quality efforts to improve delivery excellence

- Support and improve the outputs of development teams

- Minimize financial impact caused by potential project delivery issues

Accountability Measures:

- Ensures Quality Delivery of Power Platform solutions across projects. Customer Satisfaction
surveys will be completed to validate

- Strategic Alignment go-to-market strategies

- Proactive Risk and Escalation Management when needed

RESPONSIBILITIES
Day to Day Operations:
- Power Platform Architect/Developer responsibilities include:
-Client Communication: Engage with clients to gather requirements, provide updates, manage expectations, and discuss innovative solutions—such as AI-driven tools—with meetings, emails, and reports.
-Development Team Coordination: Lead the team, assign tasks, set deadlines, and align efforts with project objectives, including the development and integration of AI capabilities like Power Platform Copilot, Copilot Studio agents, and Azure AI enhancements.
-Quality Assurance: Ensure deliverables meet standards through regular reviews and improvements, incorporating best practices in AI-driven designs and intelligent automation.
-Problem Solving & Continuous Improvement: Resolve project issues efficiently to maintain progress; assess outcomes and apply best practices for future enhancement, leveraging AI for smarter workflows, decision support, and process orchestration.
-AI Solution Design & Integration: Collaborate with architects and consultants to implement scalable AI use cases, enhance Power Platform with Azure AI Foundry, and integrate AI into Power Apps and Automate workflows. Govern AI deployment by enforcing security, access, logging, monitoring, and ethical practices.

Technical Skills:
Microsoft Power Platform:

- Power Apps: Experienced in building canvas, model-driven apps, and portals, seamlessly integrating AI capabilities such as Copilot to enhance solutions.

- Power Automate: Skilled in creating automated workflows, incorporating AI-based decisioning, intelligent document processing, and event orchestration for robust automation.

- Power BI: Proficient in designing insightful data visualizations and reports, utilizing AI features to drive advanced analytics.

- Copilot Studio: Capable of developing enterprise conversational and autonomous agents, leveraging integrations across Dataverse, Power Platform, and external systems.

Dynamics 365
- Knowledgeable in Dynamics 365 applications and their integration with Power Platform.

Cloud Solutions
- Familiar with Microsoft Azure and related cloud technologies.

Data Modeling and Management:

- Integration
-Experienced in connecting Power Platform with other systems and third-party apps.

- Security
-Understands role-based access control and data protection best practices.

- Development
-Proficient in JavaScript, C#, SQL, custom connectors, and APIs.

- AI
-Proficiency in extending Copilot and Power Platform solutions using custom connectors, REST APIs, Azure Functions, and event-driven patterns.
-Experience integrating AI services into enterprise solutions using JavaScript, C#, and Azure-based ser

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