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Accenture

Advises businesses and runs their technology

Knowledge Engineering Manager / Senior Manager

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

About the Job

Requirements

  • A bachelor's degree or equivalent is required.
  • Significant experience with Knowledge Graph technologies, including RDF, SPARQL, LPG, and SHACL.
  • Considerable experience in schema design, ontology management, and Knowledge Graph curation.
  • Well-versed 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.
  • Strong knowledge and working experience with relational databases, object stores, graph databases such as Stardog, Neo4j, and Amazon Neptune, and vector databases.
  • Managerial experience leading people.
  • Ability to explain the value of the semantic layer and knowledge graphs to senior business and technology stakeholders.
  • A proven track record in sales and/or pre-sales, delivering data transformation programs, and developing teams.

Responsibilities

  • Lead the complete Knowledge Graph solution scope that transforms data architecture for strategic and complex clients.
  • Own the design, development, and implementation of AI and semantic solutions across programs.
  • Partner with project leaders, delivery leads, and senior client stakeholders to create graph-powered offerings.
  • Develop trusted-advisor relationships with senior client stakeholders.
  • Make and defend the business case for semantic-layer solutions at the executive level.
  • Lead sales and pre-sales efforts and shape data transformation programs.
  • Drive practice thought leadership, innovation, and asset development on trends and agentic technologies, and develop the teams that deliver them.
  • Lead the complete knowledge engineering scope on strategic and complex programs; lead creation of thought leadership, innovation, and assets for the discipline.
  • Own how demanding programs formulate real-world problems into scalable AI and Knowledge Graph solutions, setting strategy and architecture end to end.
  • Lead and develop teams of engineers, building capability across the discipline and guiding adoption of new methods and algorithms.
  • Define what staying at the forefront means for the practice; drive innovation and translate it into new offerings.
  • Set standards for how ontologies are designed, evaluated, and maintained across programs.
  • Make the case to senior stakeholders and shape methodologies and data architectures that prove value at scale.
  • Lead the creation of thought leadership, innovation, and reusable assets that advance the discipline beyond any single engagement.
  • Partner with business and technical leaders to direct end-to-end delivery across complex, multi-stakeholder programs.

Desired Qualifications

  • Practical experience with natural language processing techniques and/or search techniques, and prompt engineering.
  • Experience with large language models for enterprise-scale applications.
  • Hands-on experience with cloud platforms including AWS, Azure, and Google Cloud Platform.
  • Experience with Python and frameworks such as TensorFlow and PyTorch, and tools for building extract, transform, load pipelines such as Apache NiFi and Airflow.
  • Strong collaboration skills and ability to work across engineering, research, and product teams across multiple time zones.
  • External client-facing consulting experience.
  • A Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related field.
  • 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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