Staff Platform Engineer
Core
Design and build enterprise-scale knowledge products, ontologies, and retrieval capabilities to transform unstructured information into trusted, AI-ready assets for the bank's Chief AI Office.
Role type
Staff Platform Engineer (Knowledge Management & Semantic Engineering)
Builds
Enterprise knowledge platform, knowledge graphs, RAG systems, and policy-as-code decisioning frameworks
Domain
Financial Services / Knowledge Management / Generative AI
Deliverable
production ML models
Required skills
Knowledge graph engineering, Ontology & semantic modelling, RAG & GraphRAG, Vector databases, Python, TypeScript/Node.js, SQL, Cloud-native architecture, Knowledge governance, LLM integration, Policy-as-code
Preferred skills
BPMN/DMN, Process mining, AWS/AI certifications, Agentic AI patterns
Technologies
Neo4j, Amazon Neptune, RDF, OWL, SKOS, SPARQL, Python, TypeScript, Node.js, SQL, AWS
Responsibilities
Develop and maintain enterprise ontology, semantic models, and knowledge graphs; Engineer knowledge ingestion, enrichment, and retrieval pipelines; Build AI guardrails and retrieval controls for LLMs; Implement policy-as-code and deterministic decisioning; Integrate knowledge platform with agent frameworks and LLM gateways; Establish quality, evaluation, and observability loops for knowledge accuracy.
Seniority
Staff, hands-on IC with strategic impact