Source description
About the role
Semantic Layer Implementation
Implement JSON-LD-based semantic models designed by the ontologist into production data systems
Build and maintain knowledge graph structures that reflect canonical domain models • Develop and manage graph database schemas, queries, and data ingestion pipelines
Ensure semantic consistency between ontology definitions and downstream data product
AI & Vector Infrastructure
Design and implement embedding pipelines that represent Comply’s financial and regulatory data in vector space
Build and operate vector database infrastructure for semantic search and similarity retrieval
Implement RAG (Retrieval-Augmented Generation) architectures that ground LLM outputs in Comply’s proprietary data
Evaluate and integrate LLM tooling and frameworks appropriate to Comply’s use cases
Data Pipeline & Platform Engineering
Build reliable, observable data pipelines that feed the semantic layer from upstream broker and regulatory data sources
Apply DataOps practices including testing, monitoring, lineage tracking, and SLAs
Work with Data Engineers and Backend Engineers to embed semantic models into APIs and data contracts
Ensure the semantic layer scales with data volume and platform growth
Collaboration & Enablement
Partner closely with the Ontologist to ensure implemented models faithfully reflect domain intent
Support consuming application teams in understanding and adopting AI-ready data products
Contribute to resolving cross-domain data integration challenges
More at Comply