Senior AI Engineer - Software Engineer Consultant II/Senior Consultant I/Senior Consultant II
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 IC AI Engineer (Semantic Ontology & Knowledge Graphs) (via careerplan.io/jobs/R34173-senior-ai-engineer-software-engineer-consultant-iisenior-consultant-isenior-consultant-ii)
Builds
Enterprise Semantic Ontology & Dimension Factory Platform enabling AI-ready analytics
Domain
Insurance technology, Semantic Web, Knowledge Graphs, Generative AI
Deliverable
production ML models | product features
Required skills
Python, GenAI/LLMs, RDF/OWL ontologies, SPARQL, Agentic AI frameworks, Data Engineering (ETL/ELT, Star Schemas), Cloud platforms (Azure/Fabric)
Preferred skills
Enterprise data models (CIM), Semantic alignment tools, MLOps/LLMOps, Distributed systems, CI/CD
Technologies
Google ADK, LangChain, RDF, OWL, SPARQL, Python, Microsoft Fabric, Spark, SQL
Responsibilities
Design agentic AI pipelines for semantic mapping and dimension mining; Engineer LLM-powered services for schema understanding and metadata generation; Implement SPARQL querying layers over knowledge graphs; Architect Python microservices integrating semantic reasoning with data workflows; Build dimension/fact generation pipelines on Microsoft Fabric; Define engineering standards for semantic/AI platforms; Partner with SMEs to validate semantic definitions; Mentor engineers and influence technical decisions.
Seniority
Senior, hands-on IC
