AI Automation Engineer

Job Overview:
Pay Range: $47.00hr - $52.00hr Requirement/Must Have:

• 7+ years of experience.
• Proficiency in Azure OpenAI Services, GPT / LLM Models, and RAG (Retrieval Augmented Generation).
• Experience with Prompt Engineering, AI Agents, Agentic AI, Semantic Kernel, and Lang Graph / Lang Chain.
• Expertise in Microsoft Copilot, Copilot Studio, Power Automate, Power Apps, Microsoft Teams, and SharePoint Online.
• Knowledge of Microsoft Graph API and Azure AI Services.
• Strong development skills in Python, Power Shell, REST APIs, and JSON.
• Experience with Workflow Automation and Git Hub Copilot.
• Cloud experience with Microsoft Azure, Azure Functions, Logic Apps, Azure AI Foundry, and Azure Dev Ops.
• Familiarity with Service Now, Endpoint Management, Microsoft Intune, Autopilot, and Knowledge Management Platforms.

• 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.
• Reduce manual effort through automation and predictive support capabilities.
• Integrate AI platforms with Service Now, Microsoft 365, Teams, SharePoint, and Azure Services.
• Develop APIs and connectors for seamless data exchange.
• Establish Responsible AI practices and ensure compliance with security, privacy, and governance requirements.
• Monitor AI solution performance and optimize models.
• Support AI lifecycle management and operational excellence.

• Experience with Digital Workplace Services Operations.
• Familiarity with Employee Experience Platforms.
• Experience with AI-Powered Service Desks and Workplace Analytics.
• Knowledge of Experience Management (XLAs).
• Experience with Intelligent Collaboration Solutions.
• Involvement in Enterprise AI Transformation Programs.

• AI Automation.
• Azure Cloud.
• Digital Work Place.
• Generative AI.
• Microsoft Copilot.
• Copilot Studio.
• Azure OpenAI.
• Power Platform.
• Python.
• Power Shell.
• Service Now.
• Strong analytical and problem-solving skills.
• Excellent stakeholder management.
• Ability to communicate technical concepts to business users.

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