Principal Engineer, AI & Data Platform
GBP 97K-120K (estimate) Senior-level Full Time
Tasks
- Architect agentic data platform
- Build natural language query systems
- Build vector augmented retrieval
- Deliver conversational analytics
- Design knowledge layer
- Drive graph augmented retrieval
- Enable MCP based tool connectivity
- Ensure groundedness and factual consistency
- Establish evaluation frameworks for AI systems
- Implement hybrid query engines
- Integrate graph databases
- Own governed semantic models
- Partner with business stakeholders
- Provide technical leadership and mentoring
- Support knowledge graphs and ontologies
Perks/Benefits
- N/A
Skills/Tech-stack
BigQuery Graph | Data Governance | Databricks | Dataplex | Dbt Semantic Layer | Entity Resolution | Google Cloud | Graph Databases | Graph Query | Graph Query Languages | GraphRAG | Hybrid retrieval | Knowledge Catalog | Knowledge graph | Language Processing | Looker | MCP (Model Context Protocol) | Model Context Protocol | Natural Language | Natural Language Processing | OWL | Ontology Modeling | PGVector | Pinecone | Qdrant | Query languages | RDF | Semantic layer | Snowflake | Spanner | Vector Databases
Education
N/A
Roles
Director | Director of Engineering | Engineer | Engineering | Lead | Lead Engineer | Principal | Principal Engineer
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