
Search Solutions Architect
1 week ago
The Information Retrieval Engineer will be responsible for designing and implementing AI-driven search and discovery solutions that enable business users to extract valuable insights from structured and unstructured data.
Key Responsibilities:
- Develop cognitive search solutions using Azure Cognitive Search and related AI services.
- Create pipelines to ingest, index, and enrich data from diverse sources (databases, reports, dashboards, documents).
- Implement natural language query capabilities for business users to interact with enterprise data.
- Integrate semantic search, embeddings, and generative AI techniques for advanced insights.
- Collaborate with cross-functional teams to define use cases in finance, operations, and reporting.
- Partner with data lake and ADF pipeline teams to ensure seamless integration.
- Adopt agile, iterative delivery to validate and scale solutions rapidly.
- Ensure compliance, data security, and ethical AI usage in search solutions.
- Mentor team members on AI search and NLP best practices.
Qualifications:
- Strong experience with Azure Cognitive Search, Cognitive Services, and AI/ML frameworks.
- Proficiency in SQL, data modeling, and data integration for search indexing.
- Familiarity with embeddings, NLP, and vector search technologies.
- Experience connecting search solutions to BI tools, reports, and dashboards.
- Strong understanding of data governance and enterprise data management.
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