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Accenture

Advises businesses and runs their technology

Knowledge Engineering Consultant

Data ManagementConfirmed live in the last 24 hours
Full-timeBrussels, BelgiumNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree or equivalent, plus at least three of the following qualifications.
  • At least two years of experience with Knowledge Graph technologies, including RDF, SPARQL, LPG, and SHACL.
  • At least two years of experience in schema design, ontology management, and Knowledge Graph curation.
  • At least two years of experience designing and developing Knowledge Graph solutions and graph-based machine-learning models, both functional and technical.
  • At least one year of experience implementing end-to-end data pipelines for AI applications, especially large language models, including hands-on design and configuration.
  • At least two years of experience with relational databases, object stores, graph databases such as Stardog, Neo4j, and Amazon Neptune, and vector databases.

Responsibilities

  • Build Knowledge Graph components that contribute to transforming a client's data architecture.
  • Design, develop, and implement AI and semantic solutions, ensuring their work integrates cleanly with the broader system.
  • Work alongside the project team and delivery leads.
  • Build solid working relationships with client counterparts on their workstream.
  • Help assemble supporting evidence for the recommended semantic layer solution.
  • Support Accenture sales efforts when called on.
  • Continue developing skills in cutting-edge Data and AI solutions, especially agentic technologies, and share learning with the team.
  • Stay current with knowledge engineering, generative AI, large language models, and multimodal models; identify opportunities to apply them to the problem at hand.
  • Design, evaluate, and maintain ontologies as needed.
  • Help articulate the value of generative AI and Knowledge Graph approaches for a business problem.
  • Collaborate with users, use-case representatives, engineers, architects, and user-interface designers to deliver their part of an end-to-end solution.
  • Apply current methodologies, techniques, and algorithms using appropriate architecture, and begin guiding junior engineers on the project.

Desired Qualifications

  • At least two years of hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • At least two years of 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.
  • Experience with prompt engineering and large language models for enterprise-scale applications.
  • Team lead experience.
  • Experience with external client-facing consulting.
  • 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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