Principal Knowledge & Data Architect
Headquarters - Chevy Chase, MD
R
USD 174K-284K Senior-level Full Time
Tasks
- Build chunking and embedding pipelines
- Build retrieval-augmented generation pipelines
- Debug and rebuild production RAG pipeline failures
- Define AI knowledge requirements for data integrations
- Design and run retrieval and re ranking
- Design content capture and classification
- Design knowledge graph data model
- Explain technical architecture trade offs to stakeholders
- Extract structure from unstructured content
- Implement knowledge classification and lineage governance
- Operate entity resolution and deduplication
- Own knowledge management architecture
- Stand up and operate knowledge graphs
Perks/Benefits
Skills/Tech-stack
AWS Neptune | Canonicalization | Chunking | Cypher | DBT | Databricks | Deduplication | ETL | Embeddings | Entity Resolution | Graph Databases | Gremlin | Hybrid retrieval | Indexing | Information Extraction | Knowledge graphs | LLM | LLM based extraction | Language Processing | Natural Language | Natural Language Processing | Neo4j | PGVector | Pinecone | Python | Qdrant | Query rewriting | Re-ranking | Retrieval-Augmented Generation | SPARQL | SQL | Vector Databases | Weaviate
Education
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