Senior AI Data Engineer: Knowledge Graph & RAG Pipelines

Comply

Waltham Cross

On-site

GBP 90,000 - 130,000

Full time

8 days ago
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Job summary

Comply in the United Kingdom seeks a Senior AI Data Engineer to turn semantic data models into knowledge graphs, vector search, and LLM-powered pipelines. You will own the delivery of semantic layer components, collaborating with data engineers, architects, ontologists, and consumer teams.

This role emphasizes scalable semantic layers, JSON-LD, and AI-ready data products. You will ensure reliability, performance, and adoption across the platform, driving DataOps and observability.

Qualifications

  • Hands-on data engineering with semantic or AI data infrastructure.
  • Experience building knowledge graphs or graph databases (e.g., Jena Fuseki, Neo4j, Neptune).
  • Experience with vector databases and embedding pipelines (e.g., Pinecone, Weaviate, Qdrant, pgvector).
  • Practical experience implementing RAG architectures or LLM-integrated data pipelines.
  • Familiarity with semantic web standards—JSON-LD, RDF, OWL, or SKOS.
  • Strong Python skills and data pipeline framework experience.
  • Experience with cloud-native data platforms (AWS, Azure, or GCP).

Responsibilities

  • Implement JSON-LD-based semantic models from our ontologist into production data systems.
  • Develop and manage graph database schemas, queries, and ingestion pipelines.
  • Design and implement embedding pipelines that represent data in vector space.
  • Build and operate vector database infrastructure for semantic search and similarity retrieval.
  • Implement RAG architectures that ground LLM outputs in our data and evaluate tooling.
  • Build observable data pipelines with DataOps practices from ingestion to consumption.
  • Embed semantic models into APIs and data contracts to scale with data volume.

Skills

Data engineering
Semantic AI infra
Graph databases
Python
Cloud-native platforms
RAG architectures

Tools

Jena Fuseki
Neo4j
Amazon Neptune
Pinecone
Weaviate
Qdrant
pgvector

Job description

Comply in the United Kingdom seeks a Senior AI Data Engineer to turn semantic data models into knowledge graphs, vector search, and LLM-powered pipelines. You will own the delivery of semantic layer components, collaborating with data engineers, architects, ontologists, and consumer teams.

This role emphasizes scalable semantic layers, JSON-LD, and AI-ready data products. You will ensure reliability, performance, and adoption across the platform, driving DataOps and observability.

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