Microsoft Copilot Studio engineer / Architect

Job description

Primary Skills

Strong handson experience with

oMicrosoft Copilot Studio

oPower Automate Cloud Desktop

oPower Apps Canvas Model Driven

oDataverse

Experience integrating backend systems using connectors GRAPH APIs Azure Functions Dataverse 3rd party

Secondary Skills

Experience in building LLM appsagents

Handson with Azure AI Foundry project hubs deployments prompt flows evaluations

Strong in PythonTypeScript for agent logic function calling and API integrations

Solid understanding of LLM prompting system prompts fewshot patterns and safety guardrails

Experience with Azure services AI Search OpenAIOSS model deployments Functions Storage Key Vault Event GridService Bus

Knowledge of RAG design chunking strategies embeddings hybrid search rerankers

Proficient in CICD IaC observability and cost optimization for LLM workloads

Job Description Microsoft Copilot Studio Power Platform Engineer

Role Overview

We are seeking an experienced Microsoft Copilot Studio Power Platform Engineer with strong hands on expertise across Copilot Studio Power Automate Power Apps Dataverse and enterprisegrade integrations The ideal candidate will design and develop intelligent workflows copilots and automation solutions leveraging modern LLM capabilities prompt engineering and Graph API integrations

Key Responsibilities

1 Copilot Studio Development

Build extend and maintain copilots using Microsoft Copilot Studio including topics entity extraction actions and generative answers

Develop custom extensions using Power Automate custom connectors and APIs

Integrate copilots with enterprise data sources such as Dataverse Graph API SharePoint Azure Functions and external services

2 Power Platform Engineering

Design and develop Power Automate flows cloud desktop business process flows

Build Canvas Apps and Model Driven Apps with responsive UI and Dataverse backed data models

Implement Dataverse schema tables relationships business rules calculated columns

Apply ALM practices using ADOGitHub including solution packaging deployments

3 Integrations Connectors

Use custom connectors and Power Platform connectors to integrate backend systems

oREST APIs

oAzure Functions

oDataverse

oThird party services SAP ServiceNow Salesforce etc

Ensure secure authentication OAuth2Azure AD throttling management and robust exception handling

4 Prompt Engineering LLM Applications

Design high quality prompts system instructions and few shot examples for LLM powered copilots

Apply grounding using enterprise data Dataverse SharePoint APIs

Work with hybridvector retrieval and RAG patterns where required

5 Microsoft Graph API

Implement secure integration with Microsoft Graph API to access and manipulate

oM365 users groups

oMail calendar

oFiles drives

oTeams channels

Create Graphpowered automations inside Power Automate and copilots

Skills

Mandatory Skills : Power Platform - Power Apps/Power Automate/Power Pages