Senior IT Digital Workplace Engineer

Sr IT Digital Workplace Engineer: This role is Office Based Hyderabad, India Office Cornerstone OnDemand is looking for a Senior IT Digital Workplace Engineer who will lead the design and development of AI-powered solutions using Microsoft Azure AI services, Copilot, and Generative AI technologies. You will be responsible for building intelligent automation solutions, implementing AI models, and creating custom Gen AI applications that enhance business processes and drive innovation across the organization. In this role you will... Lead the development of enterprise AI solutions using Azure OpenAI, Azure AI Studio, Azure Machine Learning, and Azure Cognitive Services. Design and implement Microsoft Copilot solutions, including Copilot for Microsoft 365, custom copilots using Copilot Studio, and plugin development. Build advanced Gen AI applications using prompt engineering, RAG (Retrieval-Augmented Generation) patterns, fine-tuning, and multi-agent systems. Design, develop, and deploy enterprise-grade Agentic AI solutions using LangGraph, Microsoft Agent Framework, Azure AI Foundry Agent Service, and Semantic Kernel, including autonomous agents, multi-agent orchestration, planning, reasoning, memory management, tool/function calling, and human-in-the-loop workflows. Build intelligent AI agents that integrate with enterprise systems using REST APIs, Microsoft Graph, Model Context Protocol (MCP), Azure Functions, databases, and external tools to automate business processes and decision-making. Integrate AI capabilities with Microsoft 365, SharePoint, Teams, Power Platform, and third-party enterprise applications. Implement Azure AI Document Intelligence solutions for automated document processing and data extraction. Build and optimize vector databases and semantic search using Azure AI Search for knowledge management systems. Establish MLOps practices using Azure Machine Learning and Azure DevOps for automated model deployment and monitoring. Design and develop scalable APIs and microservices for AI model deployment and integration. Create data pipelines to support AI model training and real-time inference. Define AI solution standards, best practices, and governance frameworks including security and compliance. Mentor AI engineers and developers, providing technical guidance and code reviews. Lead proof-of-concept projects to evaluate new AI technologies and their business value. Collaborate with architects, data scientists, and stakeholders to define AI roadmaps and technical strategies. Stay current with AI technologies and Azure AI service updates to drive continuous improvement. You Have What It Takes If You Have... Requirements: Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, Data Science, or relevant experience. 5+ years of comprehensive software engineering experience with at least 3+ years focused on AI/ML architecture, development, and deployment. Technical Expertise: Proven track record in architecting and implementing enterprise-scale AI solutions using Microsoft Azure AI services and Generative AI technologies. Expert-level experience with Azure OpenAI Service, Azure AI Studio, Azure Machine Learning, and Azure Cognitive Services in production environments. Deep expertise in Gen AI application development, including advanced prompt engineering, RAG architectures, fine-tuning strategies, and multi-agent orchestration. Strong hands-on experience with Microsoft Copilot ecosystem, including enterprise Copilot deployment, custom copilot development, plugin architecture, and extensibility frameworks. Advanced proficiency in Python and/or C# with deep knowledge of AI/ML frameworks. Expert-level understanding of LLM architectures, embeddings, and vector search technologies. Expertise in designing and implementing scalable API architectures, microservices patterns, and event-driven systems for AI solutions. Deep understanding of Azure AI Search, vector databases (Cosmos DB, Pinecone, Weaviate), and hybrid search optimization techniques. Strong experience with data engineering, ETL pipelines, and data governance practices for AI/ML workloads. Expert-level knowledge of Microsoft Graph API, Power Platform integration, and Microsoft 365 extensibility for AI solutions. Leadership Business Acumen: Proven experience in translating complex business requirements into scalable AI solution architectures and implementation roadmaps. Demonstrated success in client-facing and stakeholder management roles, with ability to communicate AI concepts and ROI to technical and non-technical audiences. Strong understanding of business value realization through AI, including cost optimization, efficiency gains, and innovation metrics. Professional Qualities: Strategic and innovative mindset with ability to identify AI opportunities and drive technical excellence across the organization. Excellent communication skills to bridge technical and business perspectives, including technical writing and presentation abilities. Proactive approach to staying current with rapidly evolving AI landscape, including research papers, industry trends, and emerging technologies. Experience in establishing and maintaining technical standards, best practices, and center of excellence frameworks for AI development. #LI-Onsite