Senior AI Data Engineer: Semantic Layer & Vector AI

Comply; York and North Yorkshire; On-site; GBP 90,000 - 140,000; Full time

Job summary

Comply is seeking Senior AI Data Engineers to operationalize its semantic layer, turning ontological models into working knowledge graphs, vector search infrastructure, and LLM-powered pipelines. You will own semantic layer components, collaborate with application and data engineering teams, and ensure AI-ready data products are reliable and scalable.

The role sits in the Data and Analytics organization as part of a new team to enable future AI capabilities.

Qualifications

• Strong hands-on experience in data engineering, with a focus on semantic or AI data infrastructure.

Responsibilities

• Semantic Layer Implementation: Implement JSON-LD-based semantic models into production data systems.
• AI & Vector Infrastructure: Design and implement embedding pipelines and vector DB infrastructure for semantic search.
• RAG Architectures: Implement Retrieval-Augmented Generation that ground LLM outputs in proprietary data.

Skills

Data engineering

Knowledge graphs

Graph databases

Vector databases

RAG architectures

Python

Domain-driven design

Data contracts

Data observability

Tools

Neo4j

Jena Fuseki

Amazon Neptune

Pinecone

Weaviate

Qdrant

pgvector

Job description

Comply is seeking Senior AI Data Engineers to operationalize its semantic layer, turning ontological models into working knowledge graphs, vector search infrastructure, and LLM-powered pipelines. You will own semantic layer components, collaborate with application and data engineering teams, and ensure AI-ready data products are reliable and scalable.

The role sits in the Data and Analytics organization as part of a new team to enable future AI capabilities.