AI Engineer developing AI-enabled capabilities for content management and collaboration platforms. Involved in designing solutions for data processing and knowledge extraction using Azure AI services.
Responsibilities
Design and implement AI-enabled capabilities for content and knowledge management, focusing on unstructured content processing, metadata extraction, classification, and semantic search.
Develop and integrate AI and NLP solutions using Azure AI services, including Azure OpenAI and Document Intelligence.
Build and integrate LLM-based features, vector databases, and semantic search pipelines to enhance content discovery and automation.
Develop backend services and integrations (REST APIs) and support frontend AI integrations using JavaScript/TypeScript and modern SharePoint frameworks where applicable.
Ensure AI solutions comply with data privacy, security, and governance requirements.
Document AI architectures, models, integrations, and operational considerations in clear technical documentation.
Collaborate within Agile delivery processes and support controlled deployment of AI enhancements into the wider Content Collaboration ecosystem.
Requirements
Machine learning and AI model development
Natural language processing (NLP) and text analytics
Unstructured data processing and extraction
Azure AI services (Cognitive Services, Azure OpenAI, Document Intelligence)
Python development for AI/ML applications
Vector databases and semantic search implementation
Large Language Model (LLM) integration
Data indexing and categorization techniques
Content classification and metadata generation
C# development in .NET (.NET applications)
JavaScript/TypeScript for frontend AI integrations
React and Svelte development with SPFx and FluidUI (modern pages)
REST API development and integration
SharePoint AI feature integration (Copilot, Syntex)
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