Knowledge Engineer / Semantic Expert for AI

What you'll do

• Formulate real-world business problems into practical, scalable AI and Knowledge Graph problems.
• Lead a team to explore and implement new methodologies, model building techniques, and algorithms.
• Design, evaluate, and maintain ontologies as required by specific project needs.
• Construct data architectures and methodologies that demonstrate the business value of generative AI.
• Build Knowledge Graph solutions to transform client data architectures.
• Design and implement end-to-end AI and semantic solutions to ensure seamless system integration.
• Create business cases for recommended semantic layer solutions to client stakeholders.
• Provide leadership on technology trends, innovations, and foreseeable risks in agentic technologies.

What we're looking for

• Must have a Bachelor's degree or equivalent minimum 12 years of work experience.
• Must have an Associate’s Degree with work experience.
• Minimum of 2 years of experience in Knowledge Graph technologies such as RDF, SPARQL, LPG, or SHACL.
• Minimum of 2 years of experience with schema design, ontology management, and Knowledge Graph curation.
• Minimum of 2 years of experience designing and developing knowledge graph solutions and graph-based machine learning models.
• Minimum of 1 end-to-end data pipeline implementation for AI applications, particularly those involving LLMs.
• Minimum of 2 years of experience with relational, object, graph, and vector databases.