Senior AI Engineer
Core
Design and implement agent-driven pipelines leveraging RDF/OWL ontologies, SPARQL, and LLMs to automatically generate business-ready star schemas from heterogeneous enterprise data sources.
Role type
Senior individual-contributor AI engineer (semantic data platform)
Builds
Enterprise Semantic Ontology & Dimension Factory Platform enabling AI-ready analytics
Domain
Insurance technology / Semantic web / Knowledge graphs / Data engineering
Deliverable
production ML models
Required skills
Python, GenAI, LLM-based systems, RDF/OWL, SPARQL, Agentic AI frameworks, Data engineering (ETL/ELT, star schemas), Cloud platforms (Azure/Fabric)
Preferred skills
Enterprise data models (CIM), Semantic alignment tools, LLMOps, Distributed systems, AI-assisted analytics
Technologies
Google ADK, LangChain, Microsoft Fabric, Spark, SQL, RDF, OWL, SPARQL
Responsibilities
Design agentic AI pipelines for semantic mapping and ontology reasoning; Create and evolve enterprise ontologies; Engineer LLM-powered services for schema understanding; Implement SPARQL querying layers; Architect Python microservices and batch pipelines; Build dimension/fact generation pipelines; Define engineering standards; Partner with data architects and SMEs; Conduct code reviews and mentor engineers
Seniority
Senior, hands-on IC
