Copilot/AI Solutions Architect

LTM LIMITED SINGAPORE BRANCH; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

LTM Limited Singapore is seeking an experienced Microsoft Copilot Studio/Power Platform Solutions Architect to design, develop, and implement intelligent automation solutions using the Microsoft ecosystem. The role involves building copilots, automating business processes with Power Automate, and integrating with Dataverse, Graph API, Azure Functions, and SharePoint Online.

Strong governance and security practices are required.

Qualifications

• Hands-on experience with Copilot Studio, Power Platform, and Dataverse.
• Experience integrating backend systems using Graph API, REST APIs, and Azure Functions.
• Knowledge of governance, security, and monitoring for enterprise copilots.

Responsibilities

• Design, develop, extend, and maintain intelligent copilots using Copilot Studio.
• Configure topics, extraction, actions, and conversational flows.
• Develop extensions with Power Automate, APIs, and custom connectors.
• Integrate copilots with enterprise data sources (Dataverse, SharePoint, Graph API, Azure Functions).
• Apply governance, security, and monitoring best practices for copilots.
• Design and develop Power Automate Cloud/Desktop Flows, Canvas/Model-driven Apps, and Dataverse schemas.
• Implement ALM practices using Azure DevOps and GitHub.
• Manage deployments, environment variables, and release management.
• Develop Graph API powered automations for Teams, Outlook, SharePoint.

Skills

Copilot Studio

Power Automate

Power Apps

Dataverse

Microsoft Graph API

Azure Functions

REST APIs

Custom Connectors

AI Agents

Python

TypeScript

Education

Bachelor's degree in CS/Engineering or related field

Tools

Azure DevOps

GitHub

Job description

We are seeking an experienced Microsoft Copilot Studio / Power Platform Solutions Architect to design, develop, and implement intelligent automation solutions, AI-powered copilots, and enterprise business applications using the Microsoft ecosystem. The ideal candidate will possess strong hands-on expertise in Microsoft Copilot Studio, Power Automate, Power Apps, Dataverse, Microsoft Graph API, and Azure AI technologies, with experience building enterprise-grade integrations and Generative AI solutions. The role requires a combination of low-code/no-code development, software engineering, API integration, and AI application development skills.

Key Responsibilities

Microsoft Copilot Studio Development

• Design, develop, extend, and maintain intelligent copilots using Microsoft Copilot Studio.
• Configure and optimize topics, entity extraction, actions, generative answers, and conversational flows.
• Develop custom extensions using Power Automate, APIs, and custom connectors.
• Integrate copilots with enterprise data sources including Dataverse, SharePoint, Microsoft Graph API, Azure Functions, and third-party platforms.
• Implement governance, security, and monitoring best practices for enterprise copilots.

Power Platform Engineering

• Design and develop Power Automate Cloud and Desktop Flows for business process automation.
• Develop Canvas Apps and Model-Driven Apps using Power Apps.
• Design and implement Dataverse data models, tables, relationships, business rules, calculated columns, and security roles.
• Apply Power Platform Application Lifecycle Management (ALM) practices using Azure DevOps and GitHub.
• Manage solution packaging, environment variables, connection references, deployments, and release management.

Enterprise Integrations & Connectors

• Develop and maintain integrations using:
  • Microsoft Graph API
  • REST APIs
  • Azure Functions
  • Dataverse
  • SharePoint Online
  • Custom Connectors
  • Third‑party platforms such as SAP, ServiceNow, Salesforce, and other enterprise systems
• Implement secure authentication using OAuth2, Microsoft Entra ID (Azure AD), and API security best practices.
• Manage API throttling, monitoring, retry policies, and exception handling.

Generative AI & Prompt Engineering

• Design and optimize prompts, system instructions, and few‑shot examples for LLM‑powered copilots and agents.
• Build AI‑powered solutions using Azure AI Foundry and Azure OpenAI services.
• Apply prompt engineering techniques and responsible AI guardrails.
• Develop Retrieval‑Augmented Generation (RAG) solutions using enterprise knowledge sources.
• Implement grounding strategies leveraging Dataverse, SharePoint, Graph API, and other enterprise repositories.

Microsoft Graph API Implementations

• Develop Graph‑powered automations and copilots for:
  • Microsoft 365 Users & Groups
  • Outlook Mail & Calendar
  • OneDrive & SharePoint Files
  • Microsoft Teams & Channels
• Build intelligent business workflows using Graph API integrations within Power Automate and Copilot Studio.

Required Skills

Primary Skills

• Strong hands‑on experience with:
  • Microsoft Copilot Studio
  • Power Automate (Cloud & Desktop)
  • Power Apps (Canvas & Model‑Driven Apps)
  • Microsoft Dataverse
• Experience integrating backend systems using:
  • Microsoft Graph API
  • Azure Functions
  • Custom Connectors
  • Dataverse
  • REST APIs
  • Third‑party enterprise applications

Secondary Skills

• Experience building AI Agents and LLM‑powered applications.
• Hands‑on experience with:
  • Azure AI Foundry
  • Project Hubs
  • Prompt Flows
  • Model Evaluations
  • Azure OpenAI
• Strong experience with Python and/or TypeScript for:
  • Agent orchestration
  • Function calling
  • API integrations
• Advanced understanding of:
  • Prompt Engineering
  • System Prompts
  • Few‑shot Prompting
  • AI Safety Guardrails
• Experience with Azure services such as:
  • Azure AI Search
  • Azure OpenAI
  • Azure Functions
  • Azure Storage
  • Azure Key Vault
  • Azure Event Grid
  • Azure Service Bus
• Knowledge of:
  • RAG Architecture
  • Chunking Strategies
  • Embeddings
  • Hybrid Search
  • Semantic Search
  • Re‑ranking Techniques
• Experience with:
  • CI/CD Pipelines
  • Infrastructure as Code (IaC)
  • Observability & Monitoring
  • Cost Optimization for AI workloads

Preferred Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field.
• Microsoft certifications such as:
  • PL-400 Power Platform Developer Associate
  • PL-600 Power Platform Solution Architect Expert
  • AI-102 Azure AI Engineer Associate
  • Microsoft Copilot Studio certifications
• Experience delivering enterprise‑scale automation and AI solutions.

Ideal Candidate

The ideal candidate combines Power Platform expertise with modern Generati