How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Finding the Right Talent
Who Are We
Comply is the leading provider of compliance SaaS and consulting services for the global financial services sector. With more than 5,000 clients and hundreds of employees worldwide, Comply empowers Chief Compliance Officers and their teams to:
- Proactively manage regulatory obligations
- Mitigate risk
- Scale with efficiency and confidence
Our clients across the global financial services sector—broker-dealers, insurers, investment banks, private funds, RIAs, and wealth managers—rely on our offerings to power their compliance programs.
About the Role
We are seeking Senior AI Data Engineers to implement and operationalize Comply’s semantic layer, translating ontological models defined by our ontologists and architects into:
- Working knowledge graphs
- Vector search infrastructure
- LLM-powered pipelines
This is a hands-on engineering role at the intersection of knowledge representation, AI infrastructure, and data platform engineering.
Key Responsibilities
Semantic Layer Implementation
- 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
AI & Vector Infrastructure
- Design and implement embedding pipelines representing 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 grounding LLM outputs in proprietary data
- Evaluate and integrate LLM tooling and frameworks appropriate for Comply’s use cases
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Data Pipeline & Platform Engineering
- 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 in 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
Skills and Requirements
Essential Skills
Strong hands-on experience in:
- Data engineering, with a focus on semantic or AI data infrastructure
- Building and operating knowledge graphs (e.g. Jena Fuseki, Neo4j, Amazon Neptune)
- Vector databases and embedding pipelines (e.g. Pinecone, Weaviate, Qdrant, pgvector)
- RAG architectures or LLM-integrated data pipelines
- Semantic web standards—JSON-LD, RDF, OWL, SKOS
- Python and data pipeline frameworks
- Cloud-native data platforms (AWS, Azure, or GCP)
- Data contracts and data product frameworks for AI and data observability
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Desirable Experience
- Exposure to domain-driven design (DDD)
- Bounded contexts and knowledge engineering experience
- DataOps tooling, reliability monitoring, and data observability platforms
- Background in financial services, RegTech, or compliance data
Additional Information
For further insight into our company culture, mission, and perks, visit Comply Careers.
Comply is an Equal Opportunity Employer. All qualified applicants receive consideration without regard to race, color, religion, disability, sex, sexual orientation, gender identity, or national origin.
Applicants must be authorized to work for any employer in the United Kingdom. Currently, we are unable to sponsor employment visas.
Beware of scammers posing as Comply employees. Always verify job offers through official channels and refer to [our Statement of Fraudulent Job Offers](and linked URL) for more details.
We may use AI tools to support parts of the hiring process, including reviewing applications. Final hiring decisions are made by humans.
For data processing inquiries, contact us directly.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location