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 Generati

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