Senior AI Data Engineer: Semantic Graphs & LLM Pipelines

ComplySci; Greater London; On-site; GBP 69,000 - 109,000; Full time

Job summary

Comply is seeking a hands-on Senior AI Data Engineer to join our Data and Analytics organization in the United Kingdom. You will architect and operate semantic data infrastructure, building knowledge graphs and embedding pipelines to support AI-ready data products.

You will work with ontologists, backend teams, and Data Engineers to ensure semantic models align with domain intent and scale across our financial services clients and regulatory data sources.

Qualifications

• Strong hands-on data engineering experience with semantic or AI data infrastructure.

Responsibilities

• Implement JSON-LD-based semantic models designed by the ontologist into production data systems.
• Build and maintain knowledge graph structures reflecting canonical domain models.
• Develop and manage graph database schemas, queries, and data ingestion pipelines.
• Ensure semantic consistency between ontology definitions and downstream data products.
• Design and implement embedding pipelines representing financial and regulatory data in vector space.
• Build and operate vector database infrastructure for semantic search and similarity retrieval.
• Implement RAG architectures grounding LLM outputs in proprietary data.
• Evaluate and integrate LLM tooling and frameworks for use cases.
• Build reliable, observable data pipelines feeding the semantic layer from upstream broker and regulatory data sources.
• Apply DataOps practices including testing, monitoring, lineage tracking, and SLAs.
• Collaborate 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.
• Partner with the Ontologist to reflect domain intent.
• Support consuming application teams in adopting AI-ready data products.
• Contribute to cross-domain data integration challenges.

Skills

Semantic data infra

Knowledge graphs

Graph databases

Vector databases

RAG architectures

Python

Cloud platforms

DDD and bounded contexts

Collaboration with ontologists

Data contracts and data products

DataOps tooling and observability

Financial services / RegTech domain

Tools

Neo4j

Jena Fuseki

Amazon Neptune

Pinecone

Weaviate

Qdrant

pgvector

Python

AWS

Azure

GCP

RDF/JSON-LD/OWL/SKOS

Job description

Comply is seeking a hands-on Senior AI Data Engineer to join our Data and Analytics organization in the United Kingdom. You will architect and operate semantic data infrastructure, building knowledge graphs and embedding pipelines to support AI-ready data products.

You will work with ontologists, backend teams, and Data Engineers to ensure semantic models align with domain intent and scale across our financial services clients and regulatory data sources.