Lead Knowledge Architect: Graphs & AI Semantics for Finance

Highbrow LLC

New York (NY)

Hybrid

USD 150,000 - 210,000

Full time

8 days ago

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Job summary

Highbrow LLC seeks a Lead Knowledge Architect for the Investment & Financial Services domain in New York. You will design the enterprise ontology and knowledge graphs, aligning with standards and governing cross-department vocabularies.

You will lead semantic modeling, graph database architecture, and AI grounding strategies, mentoring engineers and presenting to senior stakeholders to drive consistent, explainable outcomes.

Qualifications

  • 8+ years in data architecture or similar
  • Hands-on graph databases and semantic modeling
  • Strong investment/financial services domain knowledge
  • Proven experience with RAG/GraphRAG, embeddings and entity resolution
  • Familiarity with data catalogs and master data management
  • Excellent facilitation and communication skills

Responsibilities

  • Design and own the enterprise ontology and knowledge graph for instruments, issuers, portfolios, and reference data.
  • Lead vocabulary reconciliation across departments and run a governed business glossary.
  • Architect, optimize, and benchmark graph databases and query layers at financial-data scale.
  • Optimize AI outputs with Graph RAG, retrieval, entity resolution, and evaluation frameworks.
  • Build knowledge-extraction pipelines from structured and unstructured sources with lineage and quality controls.
  • Act as semantic authority: run SME workshops, present to senior stakeholders, mentor engineers.

Skills

Knowledge Graphs
AI Semantics
Investment & Financial Services

Job description

Highbrow LLC seeks a Lead Knowledge Architect for the Investment & Financial Services domain in New York. You will design the enterprise ontology and knowledge graphs, aligning with standards and governing cross-department vocabularies.

You will lead semantic modeling, graph database architecture, and AI grounding strategies, mentoring engineers and presenting to senior stakeholders to drive consistent, explainable outcomes.

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