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Knowledge Engineering Manager

Accenture · Brussels

New
Senior 🇬🇧 English
RDF SPARQL LPG SHACL ontology management schema design graph databases Stardog Neo4j Amazon Neptune vector databases Python TensorFlow PyTorch Apache NiFi Airflow AWS Azure GCP NLP LLMs prompt engineering

Job description

About the role

You will lead a significant knowledge engineering scope and function within a large program, actively contributing to thought leadership. You will shape how a substantial body of work formulates real‑world problems into scalable AI and knowledge‑graph solutions and set the technical direction for that scope.

Key responsibilities

  • Lead the build of Knowledge Graph solutions that transform the client’s data architecture within the program scope.
  • Direct the design, development, and implementation of AI and semantic solutions, ensuring seamless integration of all components.
  • Collaborate with project leaders, delivery leads, and client stakeholders to create graph‑powered Data & AI offerings.
  • Develop strong client relationships and earn the trust of key advisors.
  • Make the business case for the recommended semantic‑layer solution.
  • Contribute to Accenture’s sales and pre‑sales efforts.
  • Provide thought leadership on technology trends, new opportunities, innovations, and associated risks.

Required profile

  • Bachelor’s degree or equivalent, plus at least four of the following: experience with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL), schema design, ontology management, KG curation.
  • Proven ability to design and develop KG solutions and graph‑based machine‑learning models.
  • Experience implementing end‑to‑end data pipelines for AI applications, especially large language models.
  • Strong knowledge of relational databases, object stores, graph databases (Stardog, Neo4j, Amazon Neptune) and vector databases, and experience leading a team or workstream.

Required skills

  • RDF, SPARQL, LPG, SHACL
  • Ontology management and schema design
  • Graph databases (Stardog, Neo4j, Amazon Neptune) and vector databases
  • Python with TensorFlow, PyTorch
  • Data‑pipeline tools such as Apache NiFi and Airflow
  • Cloud platforms (AWS, Azure, GCP)
  • NLP, search techniques, prompt engineering, and enterprise‑scale LLM applications

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Published 3 uur geleden

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Accenture

Brussels