Job Description

Number of Positions:

: 2

Primary Skills:

: POWER PLATFORM,COPILOT STUDIO,AZURE AI FOUNDRY,AZURE DATA FABRIC,AZURE AI FOUNDARY

:

Engagement:

6 Months (Extendable to 12 Months)

Location:

Kuala Lumpur Sentral (Onsite)

Power Platform & Copilot Studio Developer (4-6 Years)

Summary

This role focuses on designing, developing, deploying, and maintaining enterprise-grade AI solutions using

Microsoft Power Platform

,

Copilot Studio

, and

Azure AI Foundry

. The developer will be directly involved in AI agent creation, workflow automation, and intelligent app development to support business functions in a large enterprise environment.

Key Responsibilities

A. AI & Copilot Studio Development

Build

custom AI Agents

using Copilot Studio including entities, topics, triggers, system messages, grounding prompts. Configure

generative AI orchestration

and use Azure OpenAI/Azure AI Foundry to enhance agent capabilities. Develop

agentic workflows

, reasoning steps, memory components, and multi-agent collaboration patterns. Implement handoff between agents, human approvals, and backend automation.

B. Power Platform Solution Development

Develop

Power Apps

(Canvas and Model-Driven) with responsive layout, validation rules and integrations. Build workflows using

Power Automate Cloud

for business processes across HR, Finance, IT, Operations etc. Develop attended and unattended automation using

Power Automate Desktop (PAD)

. Integrate Power Platform solutions with: + Dataverse
+ SQL / Azure SQL
+ SharePoint
+ APIs (REST, OAuth-based)
+ SAP, Dynamics 365, and external LOB systems (if required)

C. AI Integration & Azure Services

Integrate apps and workflows with

Azure AI Foundry

, Azure Functions, Logic Apps, API Management. Create reusable connectors for enterprise applications. Implement prompt engineering, grounding, retrieval augmentation (RAG), and data governance.

D. Governance, Security & Best Practices

Apply Power Platform

ALM

, solution layering, environment strategy. Implement

role-based security

, DLP policies, auditing and performance optimization. Follow enterprise architecture and maintain documentation for all solutions.

E. Support, Maintenance & Enhancements

Provide BAU support, troubleshooting, and root-cause analysis for Power Platform solutions. Conduct knowledge transfer sessions and workshops for internal teams.

Technical Skills Required

Power Apps (Canvas, MDA), Dataverse Power Automate Cloud + Desktop Copilot Studio (Custom AI Agent Development) Azure AI Foundry / Azure OpenAI REST / JSON / OAuth 2.0 integration Azure Logic Apps, Azure Functions Git / DevOps pipelines (ALM) KQL (basic), Power FX, JSON schema Understanding of RAG architecture (preferred)

Experience Required

4-6 years in Power Platform development At least 1-2 enterprise projects using

Copilot Studio

Experience integrating AI services into enterprise workflows Onsite client interaction experience preferred

Expected Deliverables

AI Agent architecture and design documents Developed agents with workflows, integrations and testing Power Apps and automated flows with documentation Integration components and reusable connectors Deployment packages via solution components

Preferred Certifications

PL-400 (Power Platform Developer) PL-200 (Functional Consultant) Azure AI Engineer (AI-102) or Azure Data & AI certification

Soft Skills

Strong communication and client-facing skills. Ability to collaborate in cross-functional teams. Proactive problem-solving and self-learning attitude. Excellent documentation and presentation skills. Role 2: Azure Data Engineer & Microsoft Fabric Developer (4-6 Years)

Position Summary

This role is responsible for designing and building

data pipelines, lakehouses, semantic models, analytics datasets

, and dashboards using

Microsoft Fabric

, Azure Data Engineering services, and Power BI. The developer will support AI agents by supplying structured, clean, governed enterprise data.

Key Responsibilities (Expanded)

-----------------------------------

A. Microsoft Fabric Development

Build

data pipelines

using Fabric Data Factory (Copy, Dataflows, Notebooks). Create and maintain

Lakehouses

, medallion architecture, Delta tables. Use

Fabric notebooks

(PySpark/SQL) for data transformation and cleansing. Configure Dataflows Gen2 for ingestion from enterprise applications. Develop

Fabric semantic models

for downstream AI and BI consumption.

B. Azure Data Engineering

Develop and maintain integrations using: + Azure Data Factory
+ Azure Databricks (if required)
+ Azure SQL / SQL Managed Instance
+ Azure Data Lake Storage Gen2
Build and optimize pipelines with reusable frameworks and orchestration logic.

C. Data Modeling, Analytics & Power BI

Build semantic models for Power BI using star schemas, DAX calculations. Create enterprise dashboards, Paginated Reports, and real-time datasets. Ensure data refresh, gateway management, and incremental loading.

D. AI & Agent Enablement

Prepare datasets for Copilot Studio and Azure AI Foundry grounded data. Build structured knowledge artifacts for RAG-based AI pipelines. Integrate Fabric datasets with Copilot agents for generative AI use cases.

E. Governance, Quality & Security

Implement security (row-level security, lakehouse permissions). Implement data validations, monitoring and automated quality checks. Follow enterprise governance frameworks-- Purview/Fabric governance.

F. Documentation & Support

Create design documents, data flow diagrams, lineage maps. Provide L2/L3 support for Fabric pipelines and Power BI datasets.

Technical Skills Required

-----------------------------

Microsoft Fabric (Lakehouse, Data Factory, Dataflows, Pipelines) Azure Data Factory Azure SQL, T-SQL, Stored Procedures Power BI (DAX, semantic models, paginated reports) PySpark, SQL notebooks Delta Lake / Parquet Git / DevOps pipelines Data governance and metadata management

Experience Required

-----------------------

4-6 years in Azure Data Engineering roles Hands-on experience with

Microsoft Fabric

(mandatory) 2+ years developing Power BI enterprise datasets & dashboards Experience with large-scale data warehouse/lakehouse projects

Expected Deliverables

-------------------------

End-to-end Fabric pipelines (ingestion to gold layer) Lakehouse models, transformations and delta tables Enterprise datasets for AI, analytics and agent enablement Power BI dashboards and semantic models Technical documentation and data catalog updates

Preferred Certifications

----------------------------

DP-203 (Azure Data Engineer) PL-300 (Power BI Data Analyst) Microsoft Fabric Certification (FDP-100 or newer)

Soft Skills



Excellent communication and stakeholder engagement. Experience working in onsite client environments. Ability to collaborate with cross-functional IT & business teams. Strong documentation discipline. Availability for a

full-time onsite engagement in KL Sentral

. * Immediate or earliest-possible start date preferred