Role Summary
We are looking for a highly skilled AI Engineer – Copilot, Bot & Automation Developer who can design, develop, deploy, and manage intelligent AI-powered applications, copilots, chatbots, and workflow automation solutions across Microsoft and AI platforms.
The ideal candidate should have strong hands-on experience in Microsoft 365, Copilot Studio, Teams App Development, Power Platform, OpenAI integrations, NLP, AI Engineering, SQL databases, API integrations, and Azure services.
The candidate should be capable of building enterprise-grade AI solutions integrated with SharePoint, Teams, enterprise applications, databases, and third-party platforms while ensuring scalability, governance, and security compliance.
The role also requires expertise in Generative AI technologies, conversational AI, workflow automation, AI orchestration, and secure enterprise AI integrations.
Key Responsibilities
• Design and develop AI-powered bots, copilots, AI agents, and virtual assistants
• Build enterprise AI applications using OpenAI / Azure OpenAI, NLP, Prompt Engineering, and RAG
• Develop and deploy bots/apps on Microsoft Teams and Azure platforms
• Develop workflow automation solutions using Power Apps, Power Automate, SharePoint, and SQL workflows
• Create conversational AI solutions with semantic search and AI-powered knowledge retrieval
• Integrate enterprise applications using REST APIs, Graph API, and webhooks
• Develop AI-enabled knowledge management and intelligent automation solutions
• Implement authentication, RBAC, SSO, and secure API integrations
• Work closely with business stakeholders to deliver enterprise AI solutions
• Maintain technical documentation, architecture diagrams, and SOPs
Required Technical Skills
AI Engineering Skills
• AI application development
• Generative AI architecture
• AI orchestration frameworks
• AI Agent development
• Conversational AI
• Prompt Engineering
• RAG (Retrieval-Augmented Generation)
• Semantic search
• LLM integration and optimization
• AI workflow automation
• AI governance and Responsible AI practices
Generative AI & NLP
• OpenAI / Azure OpenAI
• Claude AI
• Gemini AI
• NLP (Natural Language Processing)
• Large Language Models (LLMs)
• Copilot extensibility & plugin development
Microsoft & Power Platform
• Microsoft 365
• Microsoft Copilot Studio
• Power Apps
• Power Automate
• Power Virtual Agents
• SharePoint Online
• Microsoft Teams App Development
• Microsoft Graph API
• Dataverse
Development Skills
• Python
• JavaScript / TypeScript
• HTML/CSS
• REST APIs
• JSON
• API integrations
Database Skills
• SQL Server / MySQL
• Query optimization
• Stored procedures
• Data integration workflows
• SQL-based automation logic
Azure Skills
• Azure App Services
• Azure Functions
• Azure Bot Services
• Azure Logic Apps
• Azure Storage
• Azure AI Studio
• Azure OpenAI integration
• Azure AD / Entra ID
Additional Preferred Skills
• LangChain
• Semantic Kernel
• Adaptive Cards for Teams
• OCR / Document Intelligence automation
• AI-powered document processing
• Workflow orchestration
• CI/CD basics
• GitHub / Azure DevOps
• Docker basics
• Kubernetes basics
• Redis caching
• Enterprise application integration
• SAP / ERP / CRM integrations
• Authentication & RBAC implementation
• SSO / OAuth integrations
• Power BI integration
Security & Governance Knowledge
• AI security and governance
• Responsible AI implementation
• Data privacy and compliance
• Secure API integrations
• Enterprise security standards
• Role-based access control (RBAC)
• Authentication and authorization mechanisms
• Governance for enterprise AI systems
Preferred Certifications
• Microsoft Certified: Power Platform Developer Associate
• Microsoft Certified: Azure AI Engineer Associate
• Microsoft Certified: Azure Developer Associate
• Microsoft 365 Certified Fundamentals
• Copilot Studio Certifications (Preferred)
• AI / Generative AI Certifications (Preferred)
Soft Skills
• Strong analytical and problem-solving skills
• Excellent communication and stakeholder management
• Ability to understand business processes and automate them
• Innovation-driven and proactive mindset
• Ability to work independently on enterprise AI initiatives
• Strong documentation and presentation skills
Preferred Experience
• Enterprise AI implementations
• Teams-based application development
• Workflow automation projects
• AI chatbot and copilot implementation
• SharePoint and Microsoft ecosystem integrations
• Intelligent document processing projects
• Large-scale enterprise automation initiatives
Example Use Cases Candidate Should Handle
• AI Helpdesk Bot for IT/HR
• Leadership Copilot Assistant
• Teams-based workflow and approval automation
• SharePoint document automation
• AI-powered enterprise knowledge search
• SQL-driven reporting and automation bots
• OCR/document processing automation
• AI chatbot with role-based access control
• ERP/CRM integrations with Microsoft 365
• Intelligent automation using Generative AI and Power Platform
