Senior AI Automation Engineer – Azure & Copilot Expert

BlackCube Labs

Massachusetts

On-site

USD 65,000 - 72,000

Full time

13 days ago

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Job summary

BlackCube Labs in Massachusetts seeks an experienced AI Engineer to design and implement AI-powered workplace automation solutions, building intelligent assistants using Microsoft Copilot Studio and Azure OpenAI.

The role emphasizes autonomous task execution, IT support automation, and integration with ServiceNow, Microsoft 365, Teams, SharePoint, and other Azure services while upholding governance and security standards.

Qualifications

7+ years of experience in AI or software engineering.
Proficiency in Azure OpenAI Services, GPT/LLM models, and Retrieval Augmented Generation (RAG).
Experience with Prompt Engineering, AI Agents, Agentic AI, Semantic Kernel, and LangGraph/LangChain.
Expertise with Microsoft Copilot, Copilot Studio, Power Automate, Power Apps, 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 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.