AI Automation Engineer

AI Automation Specialist

Pay Range: $47.00hr - $52.00hr

Requirement/Must Have:

• Azure OpenAI Services.
• GPT / LLM Models.
• RAG (Retrieval Augmented Generation).
• Prompt Engineering.
• AI Agents & Agentic AI.
• Semantic Kernel.
• LangGraph / LangChain.
• Microsoft Copilot.
• Copilot Studio.
• Power Automate.
• Power Apps.
• Microsoft Teams.
• SharePoint Online.
• Microsoft Graph API.
• Azure AI Services.
• Python.
• PowerShell.
• REST APIs.
• JSON.
• Workflow Automation.
• GitHub Copilot.
• Microsoft Azure.
• Azure Functions.
• Logic Apps.
• Azure AI Foundry.
• Azure DevOps.
• ServiceNow.
• Endpoint Management.
• Microsoft Intune.
• Autopilot.
• Knowledge Management Platforms.
• 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.

Responsibilities:

• 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.
• 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.
• Develop AI solutions for ticket summarization, automated ticket classification, and knowledge article generation.
• Implement self-healing automation and intelligent incident routing.
• Develop virtual support assistants to reduce manual effort through automation and predictive support capabilities.
• Integrate AI platforms with ServiceNow, Microsoft 365, Teams, SharePoint, Power Platform, and Azure Services.
• Develop APIs and connectors for seamless data exchange.
• 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.

Nice to Have:

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

Skills:

• AI Automation.
• Azure Cloud.
• Digital Work Place.

Qualification And Education:

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