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Accenture

Advises businesses and runs their technology

Knowledge Engineering Manager

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeBrussels, BelgiumNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree or equivalent is required.
  • Experience with Knowledge Graph technologies, including RDF, SPARQL, LPG, and SHACL.
  • Working experience in schema design, ontology management, and Knowledge Graph curation.
  • Ability to design and develop Knowledge Graph solutions and graph-based machine learning models, functionally and technically.
  • Experience implementing end-to-end data pipelines for AI applications, especially large language models, including hands-on design and configuration.
  • Knowledge of and experience with relational databases, object stores, graph databases such as Stardog, Neo4j, and Amazon Neptune, and vector databases.
  • Experience leading a team or workstream within a larger program.

Responsibilities

  • 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 create graph-powered Data and AI offerings.
  • Develop client relationships and earn the trust of key advisors.
  • Make the business case for the semantic layer solution recommended to the client.
  • Contribute to sales and pre-sales efforts.
  • Provide thought leadership on technology trends, opportunities, innovations, and foreseeable limitations, risks, and concerns.
  • Shape how work formulates real-world problems into scalable AI and Knowledge Graph solutions, and set technical direction for the scope.
  • 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; design, evaluate, and maintain ontologies and establish standards.
  • Construct methodologies and data architectures that demonstrate the business and technology value of solutions.
  • Publish or present perspectives beyond the immediate project.
  • Work across business and technical teams to drive end-to-end delivery.

Desired Qualifications

  • Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Experience with Python, frameworks such as TensorFlow and PyTorch, and tools for building ETL pipelines such as Apache NiFi and Airflow.
  • Practical experience with natural language processing and/or search techniques, prompt engineering, and large language models for enterprise-scale applications.
  • Team lead experience and the ability to work across engineering, research, and product teams across multiple time zones.
  • External client-facing consulting experience.
  • Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or Mathematics; related field also accepted.
  • Broad experience in diverse machine learning techniques and agentic systems.

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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