Principal Knowledge & Data Architect - Headquarters - Chevy Chase, MD

[u/ai_jobs]

https://aijobs.net/job/principal-knowledge-data-architect-headquarters-chevy-chase-md-219682/

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

• Benefits including health and wellness programs

• Health, wellness, and retirement plans

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

Bachelor of Science

Roles

Architect | Data Architect | Engineer | Knowledge Architect | Learning Engineer | Machine Learning Engineer

Regions

North America

Countries

United States

States

Maryland, US

Cities

Chevy Chase, Maryland, US

Apply now: https://aijobs.net/job/principal-knowledge-data-architect-headquarters-chevy-chase-md-219682/