Copilot/AI Solutions Architect
LTM LIMITED SINGAPORE BRANCH · Singapore ·
- Category
- Architecture
LTM LIMITED SINGAPORE BRANCH · Singapore ·
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.
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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:
o Microsoft Graph API
o REST APIs
o Azure Functions
o Dataverse
o SharePoint Online
o Custom Connectors
o 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:
o Microsoft 365 Users & Groups
o Outlook Mail & Calendar
o OneDrive & SharePoint Files
o Microsoft Teams & Channels
• Build intelligent business workflows using Graph API integrations within Power Automate and Copilot Studio.
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Required Skills
Primary Skills
• Strong hands-on experience with:
o Microsoft Copilot Studio
o Power Automate (Cloud & Desktop)
o Power Apps (Canvas & Model-Driven Apps)
o Microsoft Dataverse
• Experience integrating backend systems using:
o Microsoft Graph API
o Azure Functions
o Custom Connectors
o Dataverse
o REST APIs
o Third-party enterprise applications
Secondary Skills
• Experience building AI Agents and LLM-powered applications.
• Hands-on experience with:
o Azure AI Foundry
o Project Hubs
o Prompt Flows
o Model Evaluations
o Azure OpenAI
• Strong experience with Python and/or TypeScript for:
o Agent orchestration
o Function calling
o API integrations
• Advanced understanding of:
o Prompt Engineering
o System Prompts
o Few-shot Prompting
o AI Safety Guardrails
• Experience with Azure services such as:
o Azure AI Search
o Azure OpenAI
o Azure Functions
o Azure Storage
o Azure Key Vault
o Azure Event Grid
o Azure Service Bus
• Knowledge of:
o RAG Architecture
o Chunking Strategies
o Embeddings
o Hybrid Search
o Semantic Search
o Re-ranking Techniques
• Experience with:
o CI/CD Pipelines
o Infrastructure as Code (IaC)
o Observability & Monitoring
o Cost Optimization for AI workloads
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Preferred Qualifications
• Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field.
• Microsoft certifications such as:
o PL-400 Power Platform Developer Associate
o PL-600 Power Platform Solution Architect Expert
o AI-102 Azure AI Engineer Associate
o Microsoft Copilot Studio certifications
• Experience delivering enterprise-scale automation and AI solutions.
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Ideal Candidate
The ideal candidate combines Power Platform expertise with modern Generative AI capabilities, demonstrating hands-on experience delivering enterprise copilots, intelligent automation solutions, Graph API integrations, and LLM-powered applications. The successful candidate will be passionate about innovation, AI-driven productivity, and building scalable business solutions that deliver measurable business value.