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Accenture

Advises businesses and runs their technology

Knowledge Engineering Consultant

Data ManagementConfirmed live in the last 24 hours
Full-timeKronberg, GermanyNo salary listed

About the Job

Requirements

  • A bachelor's degree or equivalent is required, along with at least three of the listed experience qualifications.
  • 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 functionally and technically.
  • Proven experience implementing end-to-end data pipelines for AI applications, especially large language models, including hands-on design and configuration.
  • Strong knowledge and working experience with relational databases, object stores, graph databases such as Stardog, Neo4j, and Amazon Neptune, and vector databases.
  • German and English language proficiency at a minimum of B2 level.

Responsibilities

  • Formulate real-world problems into practical, efficient, scalable AI and Knowledge Graph solutions, working hands-on from ingestion through modeling, curation, and deployment.
  • Apply current methodologies, techniques, algorithms, and architecture, and begin guiding junior engineers on projects.
  • Stay current with knowledge engineering, generative AI, large language models, and multimodal models, and identify opportunities to apply them.
  • Design, evaluate, and maintain ontologies as needed.
  • Help articulate the value of generative AI and Knowledge Graph approaches for business problems.
  • Share learnings with the team.
  • Collaborate with users, use-case representatives, engineers, architects, and UI designers to deliver a component of an end-to-end solution.
  • Build Knowledge Graph components that contribute to transforming a client's data architecture.
  • Design, develop, and implement AI and semantic solutions, ensuring they integrate cleanly with the broader system.
  • Work alongside the project team and delivery leads.
  • Build working relationships with client counterparts on the relevant workstream.
  • Help assemble supporting evidence for the recommended semantic-layer solution.
  • Support Accenture sales efforts when called upon.
  • Continue developing skills in cutting-edge Data and AI solutions, especially agentic technologies, and share learnings with the team.

Desired Qualifications

  • Hands-on experience with cloud platforms such as AWS, Azure, or GCP.
  • Proficiency in Python and experience with 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 collaborating across engineering, research, and product teams across multiple time zones.
  • External client-facing consulting experience.
  • Broad experience with 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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