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Accenture

Advises businesses and runs their technology

Knowledge Engineering Manager

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeKronberg, Germany

About the Job

Requirements

  • A bachelor's degree or equivalent is required.
  • Experience with at least four of the listed qualification areas is required.
  • Experience with Knowledge Graph technologies, including RDF, SPARQL, LPG, and SHACL.
  • Experience in schema design, ontology management, and Knowledge Graph curation.
  • Experience designing and developing Knowledge Graph solutions and graph-based machine learning models, both functional and technical.
  • Experience implementing end-to-end data pipelines for AI applications, especially large language models, including hands-on design and configuration.
  • Knowledge or working experience with relational databases, object stores, graph databases such as Stardog, Neo4j, and Amazon Neptune, and vector databases.
  • German and English proficiency at a minimum B2 level is required.

Responsibilities

  • Lead a significant knowledge engineering scope and function within a large program, contribute to thought leadership, and set technical direction.
  • Shape how program work formulates real-world problems into scalable AI and Knowledge Graph solutions.
  • Lead a team and guide exploration and implementation of new methodologies, model-building techniques, and algorithms.
  • Apply new techniques to business problems, use cases, and scenarios to drive innovation.
  • Design, evaluate, and maintain ontologies, and establish standards for others to follow.
  • Justify the value of solutions to business and technology stakeholders, and develop methodologies and data architectures to demonstrate that value.
  • Publish or present perspectives beyond the immediate project and work across business and technical teams to drive end-to-end delivery.
  • Lead the build of Knowledge Graph solutions that transform a client's data architecture within program scope.
  • Direct the design, development, and implementation of AI and semantic solutions, ensuring the components work together.
  • Work with project leaders, delivery leads, and client stakeholders to develop graph-powered Data and AI offerings.
  • Develop client relationships and earn the trust of key advisors.
  • Make the business case for recommended semantic-layer solutions.
  • Contribute to sales and pre-sales efforts.
  • Provide thought leadership on technology trends, opportunities, innovations, limitations, risks, and concerns.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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