Senior Engineer Knowledge Graph

We are seeking a visionary Senior Knowledge Graph & Context Engineer for the end-to-end design build deployment and continuous improvement of the knowledge and context capabilities that power our AI assistants along with our enterprise search and decision-support solutions. You will harness the context layer creation that will connect enterprise data business knowledge semantic models and AI services ensuring that product ingredient regulatory quality sustainability marketing and supply chain knowledge is delivered accurately safely and at speed through reusable and scalable solutions. The ideal candidate will be part of our enterprise insights and transformation agenda helping translate fragmented knowledge assets across source systems such as ERP CRM PLM PIM/MDM LIMS Regulatory DAM and SCM into trusted reusable and governed context packs for Agentic AI use cases. The position requires a blend of business understanding semantic / knowledge engineering capability and AI delivery expertise with a strong focus on enabling high-quality grounding retrieval governance and adoption across the organization.

YOUR NEW KEY RESPONSIBILITIES:

• Design build and operationalize the enterprise context layer that supports AI assistants semantic search and decision-support solutions across business domains.
• Transform enterprise knowledge assets into reusable trusted and scalable context packs for Agentic AI outcomes.
• Design and optimize retrieval pipelines grounding patterns chunking strategies metadata enrichment and prompt/context orchestration to ensure accurate relevant and safe AI responses.
• Partner closely with Ontology Engineers AI Engineers and Data teams to apply semantic enrichment taxonomies controlled vocabularies and relationship modelling that improve discoverability interoperability and reasoning.
• Embed policy-aware controls access rules governance standards and quality checks into context pipelines to ensure compliant and trusted use of enterprise knowledge.
• Work with Data Platform and Engineering teams to productionize context services across graph search and AI ecosystems ensuring performance scalability monitoring and maintainability.
• Partner with Product Data Platform Security / Compliance Architecture and business domain teams to align priorities with business needs and accelerate adoption of AI-enabled knowledge solutions.
• Help improve findability reuse decision quality and business efficiency while tracking impact adoption and value realization.
• Support the embedding of knowledge-driven and AI-enabled processes into business workflows tools and digital products.
• Drive continuous improvement in knowledge quality retrieval effectiveness semantic consistency and AI response performance.

ARE THESE YOUR SECRET INGREDIENTS

• BSc or MSc in a relevant field such as Computer Science Information Science Data Science Artificial Intelligence Knowledge Engineering Computational Linguistics or a related discipline.
• 5 experience in knowledge engineering context engineering semantic technologies enterprise search GenAI / LLM solutions or AI product enablement.
• Strong understanding of one or more of the following: ontologies taxonomies controlled vocabularies knowledge graphs metadata modelling semantic enrichment and information retrieval.
• Hands-on experience designing or supporting RAG pipelines prompt / grounding patterns context orchestration and memory management context quality and provenance semantic search and evaluation of AI responses.
• Experience with relevant technologies such as graph databases vector / search platforms semantic web technologies and cloud AI / data ecosystems. Exposure to tools and W3C standards such as RDF OWL SKOS SHACL SPARQL Neo4j Stardog Ontotext GraphDB Azure ecosystem or equivalent is considered a strong advantage.
• Experience working with enterprise knowledge and data domains such as PLM PIM / MDM LIMS Regulatory DAM ERP SCM or other structured and unstructured business data sources.
• Strong influencing interpersonal and communication skills with the ability to work effectively across Data AI Technology and business functions.
• Experience presenting solutions trade-offs and recommendations to senior management and technical leadership teams.

Job Model: Hybrid 1 day only WFH/ New Cairo