Copilot/AI Solutions Architect

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 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.