Forward Deployment Engineer

Forward Deployment Engineer (FDE)

Office Based, Hyderabad Office

Cornerstone OnDemand is lookingfor 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 buildingintelligent automation solutions, implementing AI models, and creating customGen AI applications - while working closely with client teams to ensureseamless 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 Copilotfor Microsoft 365, custom copilots using Copilot Studio, and plugindevelopment.
• Build advanced Gen AI applications using prompt engineering, RAG(Retrieval-Augmented Generation) patterns, fine-tuning, and multi-agentsystems.
• Develop intelligent workflows using Azure Agentic AI and SemanticKernel to automate complex business processes.
• Integrate AI capabilities with Microsoft 365, SharePoint, Teams, PowerPlatform, and third-party enterprise applications.
• Implement Azure AI Document Intelligence solutions for automateddocument processing and data extraction.
• Build and optimize vector databases and semantic search using Azure AISearch for knowledge management systems.
• Design and develop scalable APIs and microservices for AI modeldeployment and integration.
• Create data pipelines to support AI model training and real-timeinference.
• Define AI solution standards, best practices, and governanceframeworks including security and compliance.

ClientDeployment & Collaboration

• Participate in technical discovery sessions with client stakeholdersto understand business requirements and integration constraints.
• Support on-site and remote deployment of AI solutions within clientenvironments, managing configuration, data integration, and go-live activities.
• Deliver proof-of-concept projects to evaluate AI technologies anddemonstrate business value to client teams.
• Provide technical enablement and knowledge transfer sessions to clientengineering teams as needed.
• Gather client feedback to inform product improvements, working closelywith internal product and engineering teams.

You've Got What It Takes If You Have...

Requirements

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

Technical Expertise

• Proven track record in architecting and implementing enterprise-scaleAI 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 productionenvironments.
• Deep expertise in Gen AI application development, including advancedprompt engineering, RAG architectures, fine-tuning strategies, and multi-agentorchestration.
• Strong hands-on experience with Microsoft Copilot ecosystem, includingenterprise Copilot deployment, custom copilot development, plugin architecture,and extensibility frameworks.
• Advanced proficiency in Python and/or C# with deep knowledge of AI/MLframeworks.
• Expert-level understanding of LLM architectures, embeddings, andvector search technologies.
• Expertise in designing and implementing scalable API architectures,microservices patterns, and event-driven systems for AI solutions.
• Deepunderstanding of Azure AI Search, vector databases (Cosmos DB, Pinecone,Weaviate), and hybrid search optimization techniques.

Additional Skills

• Good communication skills with the ability to explain technicalconcepts to both technical and non-technical stakeholders.

• Ability to adapt solutions to diverse client environments and dataecosystems.
• Familiarity with enterprise security and compliance frameworks (SOC 2,GDPR, HIPAA) is a plus.
• Experience with multi-tenant SaaSdeployments and tenant-specific AI customization is a plus.

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