Lead AI Engineer with semantic web tech

Responsibilities

• Define the strategic roadmap for enterprise semantic and knowledge engineering initiatives, aligning them with long-term business and technology goals
• Lead and mentor a team of engineers, fostering technical excellence, knowledge sharing, and professional growth
• Lead workshops and discovery sessions with senior business and technical stakeholders to elicit, define, and document business entities, relationships, attributes, hierarchies, and competency questions
• Architect and own enterprise ontologies, taxonomies, controlled vocabularies, and semantic models across multiple domains
• Establish standards for mapping source systems and business concepts into canonical semantic representations
• Define architectural blueprints for scalable ELT/ETL frameworks, graph-loading processes, and semantic transformations supporting structured, semi-structured, and unstructured data
• Drive the design and evolution of graph databases, semantic layers, and metadata repositories to directly support RAG (Retrieval-Augmented Generation), Knowledge Graph, and Agentic AI solutions
• Establish and chair ontology governance frameworks, business glossary stewardship, and semantic versioning policies at the enterprise level
• Define best practices for automated data quality validation, monitoring, lineage, and observability processes
• Partner with Data Architects, Solution Architects, Data Stewards, and AI Engineers to ensure semantic consistency, discoverability, and high data quality across all enterprise data products

Languages