AI Engineer

AlEngineer - India

Thisrole is Office Based, Hyderabad Office

CornerstoneOnDemand is looking for a AI Engineer who will lead the design and developmentof AI-powered solutions using Microsoft Azure AI services, Copilot, andGenerative AI technologies. You will be responsible for building intelligentautomation solutions, implementing AI models, and creating custom Gen AIapplications that enhance business processes and drive innovation across theorganization.

Inthis 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.
• Develop intelligent workflows using Azure Agentic AI and Semantic Kernel to automate complex business processes.
• 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.

• Bachelor's or master's degree in computer science, Software Engineering, Artificial Intelligence, Machine Learning, Data Science, or relevant experience.
• 3 years of comprehensive software engineering experience with at least 2+ years focused on AI/ML architecture, development, and deployment.

• 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