Lead Search and AI Engineer

Job Title

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Lead Search and AI Engineer Location: =============

Remote/Home Based Job Summary and Description: ================================

The Lead AI Engineer is to design, implement, and support AI-driven document processing, retrieval, and search solutions using Azure AI Search, Retrieval-Augmented Generation (RAG), Knowledge Graphs, Query Orchestration, Prompt Engineering, and Kubernetes-based container deployments.

Key Responsibilities

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• Architect & Deploy AI Solutions: Build AI-driven search and document intelligence systems using Azure AI Search, Knowledge Graphs, and RAG techniques.
• Query Orchestration: Develop strategies to route and structure user queries efficiently across multiple retrieval systems.
• RAG-Based Applications: Implement and fine-tune applications for intelligent knowledge retrieval from structured and unstructured documents.
• Containerized Deployments: Deploy and manage AI applications using Azure Kubernetes Service (AKS) for scalability.
• Vector Search Optimization: Enhance document retrieval through optimized embeddings and hybrid search techniques.
• Open-Source Integration: Utilize tools like Tesseract OCR, PyMuPDF, and Pillow for document processing.
• API Integration: Connect with Profile APIs, Product Metadata, and Downloads to enrich indexing and search capabilities.
• Compliance & Security: Ensure adherence to export control restrictions and secure document handling best practices.
• Monitoring & Optimization: Troubleshoot and optimize AI-based workflows for performance and reliability.
• Stakeholder Collaboration: Work closely with business and technical teams to refine AI-powered document solutions.

Required Skills & Experience

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* Bachelors or Masters Degree in Computer Science or related areas, applicable professional certification with 7+ years of progressive experience providing solutions to complex progr...