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Accenture

Advises businesses and runs their technology

Knowledge Engineering Senior Manager - Talent and Workforce

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

About the Job

Requirements

  • A bachelor's degree or equivalent is required.
  • Significant professional experience with Knowledge Graph technologies, including RDF, SPARQL, LPG, and SHACL; schema design; ontology management; and Knowledge Graph curation is required.
  • Considerable experience designing and developing Knowledge Graph solutions and graph-based machine learning models, both functional and technical, is required.
  • Experience implementing end-to-end data pipelines for AI applications, especially large language models, including hands-on design and configuration, is required.
  • Strong knowledge and experience with relational databases, object stores, graph databases such as Stardog, Neo4j, and Amazon Neptune, and vector databases is required.
  • Managerial experience leading people is required, along with the ability to explain the value of semantic layers and Knowledge Graphs to senior business and technology stakeholders, a proven track record in sales and/or pre-sales, experience delivering data transformation programs, and experience developing teams.

Responsibilities

  • Lead the complete Knowledge Graph solution scope, transforming 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 complete knowledge engineering scope on strategic and complex programs, including the creation of thought leadership, innovation, and discipline assets.
  • Formulate real-world problems into scalable AI and Knowledge Graph solutions; set strategy and architecture end to end.
  • Guide adoption of new methods and algorithms, define ontology design, evaluation, and maintenance standards, and shape methodologies and data architectures that demonstrate value at scale.
  • 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, prompt engineering, and large language models for enterprise-scale applications.
  • Hands-on experience with cloud platforms such as AWS, Azure, and Google Cloud Platform.
  • Experience with Python, frameworks such as TensorFlow and PyTorch, and tools for building extract, transform, and load pipelines such as Apache NiFi and Airflow.
  • Ability to collaborate across engineering, research, and product teams across multiple time zones.
  • External client-facing consulting experience.
  • 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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