Forward Deployment Engineer

Forward Deployment Engineer (FDE)

Office Based, Hyderabad Office

Cornerstone OnDemand is looking for a Forward Deployment Engineer (FDE) who will lead the design, development, and deployment 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 - while working closely with client teams to ensure seamless integration and deployment within their environments.

In this role, you will...

AI Solution Design & Development

• 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.

• Bachelor's or master's degree in computer science, Software Engineering.
• 2+ years of comprehensive software engineering experience.

• 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.

• Good communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders.
• Ability to adapt solutions to diverse client environments and data ecosystems.
• Familiarity with enterprise security and compliance frameworks (SOC 2, GDPR, HIPAA) is a plus.
• Experience with multi-tenant SaaS deployments and tenant-specific AI customization is a plus.