AI Automation Engineer

Job Summary

We are seeking an experienced AI Automation Engineer to design, develop, and implement AI-driven automation solutions across Digital Workplace Services. The role will focus on leveraging Generative AI, Microsoft Copilot, Copilot Studio, Azure OpenAI, Power Platform, automation technologies, and intelligent virtual agents to enhance employee experience, optimize IT operations, improve service desk efficiency, and enable autonomous workplace support capabilities. This aligns with Digital Workplace Services initiatives such as AI-powered service desks, intelligent collaboration, agentic AI, and workplace automation.

Key Responsibilities

AI & Automation Engineering

• Design and implement AI-powered workplace automation solutions.
• Develop intelligent virtual assistants, chatbots, and AI agents using Microsoft Copilot Studio and Azure OpenAI.
• Build Agentic AI workflows for autonomous task execution and IT support automation.
• Integrate AI solutions with ITSM platforms, collaboration tools, and enterprise applications.
• Develop workflow automations using Power Platform, APIs, and orchestration frameworks.

Digital Workplace Transformation

• Drive adoption of AI-powered Digital Workplace solutions.
• Implement intelligent employee self-service solutions.
• Enhance productivity through Copilot-enabled workflows.
• Improve workplace experience with AI-driven support and knowledge management.

Service Desk Automation

• Develop AI solutions for:
  • Ticket summarization
  • Automated ticket classification
  • Knowledge article generation
  • Self-healing automation
  • Intelligent incident routing
  • Virtual support assistants
• Reduce manual effort through automation and predictive support capabilities.

Integration & Development

• Integrate AI platforms with:
  • ServiceNow
  • Microsoft 365
  • Teams
  • SharePoint
  • Power Platform
  • Azure Services
  • Enterprise applications
• Develop APIs and connectors for seamless data exchange.

Governance & AI Operations

• Establish Responsible AI practices.
• Ensure compliance with security, privacy, and governance requirements.
• Monitor AI solution performance and optimize models.
• Support AI lifecycle management and operational excellence.

Required Technical Skills

AI & GenAI

• Azure OpenAI Services
• GPT / LLM Models
• RAG (Retrieval Augmented Generation)
• Prompt Engineering
• AI Agents & Agentic AI
• Semantic Kernel
• LangGraph / LangChain

Microsoft Technologies

• Microsoft Copilot
• Copilot Studio
• Power Automate
• Power Apps
• Microsoft Teams
• SharePoint Online
• Microsoft Graph API
• Azure AI Services

Automation & Development

• Python
• PowerShell
• REST APIs
• JSON
• Workflow Automation
• GitHub Copilot

Cloud & Infrastructure

• Microsoft Azure
• Azure Functions
• Logic Apps
• Azure AI Foundry
• Azure DevOps

ITSM & Workplace Technologies

• ServiceNow
• Endpoint Management
• Microsoft Intune
• Autopilot
• Knowledge Management Platforms

Preferred Qualifications

• Microsoft Certified: Azure AI Engineer Associate
• Microsoft Certified: Power Platform Developer Associate
• Microsoft Copilot Certification
• ServiceNow Certified System Administrator
• Azure Solutions Architect Certification

Soft Skills

• Strong analytical and problem-solving skills.
• Excellent stakeholder management.
• Ability to communicate technical concepts to business users.
• Innovation mindset and continuous learning attitude.
• Experience leading AI transformation initiatives.

Nice-to-Have Experience

• Digital Workplace Services Operations
• Employee Experience Platforms
• AI-Powered Service Desk
• Workplace Analytics
• Experience Management (XLAs)
• Intelligent Collaboration Solutions
• Enterprise AI Transformation Programs