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AI Automation Engineer

Cynet Systems
4 days ago
Full-time
Remote friendly (Massachusetts, United States)
Worldwide
$47 - $52 USD hourly
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 LangGraph / LangChain. 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, PowerShell, REST APIs, and JSON. Experience with Workflow Automation and GitHub Copilot. Cloud experience with Microsoft Azure, Azure Functions, Logic Apps, Azure AI Foundry, and Azure DevOps. Familiarity with ServiceNow, Endpoint Management, Microsoft Intune, Autopilot, and Knowledge Management Platforms. 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. Reduce manual effort through automation and predictive support capabilities. Integrate AI platforms with ServiceNow, 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. Nice to Have: 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. Skills: AI Automation. Azure Cloud. Digital Work Place. Generative AI. Microsoft Copilot. Copilot Studio. Azure OpenAI. Power Platform. Python. PowerShell. ServiceNow. Strong analytical and problem-solving skills. Excellent stakeholder management. Ability to communicate technical concepts to business users. 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.