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Accenture

Advises businesses and runs their technology

Knowledge Engineering Senior Manager

Engineering LeadershipUpdated on Nov 12
Full-timeLondon, UKNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree or equivalent is required.
  • Significant experience with Knowledge Graph technologies, including RDF, SPARQL, LPG, and SHACL.
  • Advanced practical knowledge of schema design, ontology management, and Knowledge Graph curation.
  • Seasoned experience designing and developing Knowledge Graph solutions and graph-based machine learning models, both functional and technical.
  • Proven experience implementing end-to-end data pipelines for AI applications, especially large language models, including hands-on design and configuration.
  • Extensive experience with relational databases, object stores, graph databases such as Stardog, Neo4j, and Amazon Neptune, and vector databases.
  • Managerial experience leading people, explaining the value of the semantic layer and Knowledge Graphs to senior business and technology stakeholders, and 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 the program.
  • 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 the semantic-layer solution at the executive level.
  • Lead sales and pre-sales efforts and shape data transformation programs.
  • Drive the practice's thought leadership, innovation, and asset development on trends and agentic technologies, and develop the teams who deliver them.
  • Lead the complete knowledge engineering scope on strategic and complex programs; create thought leadership, innovation, and assets for the discipline.
  • Set strategy and architecture end to end for translating demanding program problems into scalable AI and Knowledge Graph solutions.
  • Guide teams of engineers and adoption of new methods and algorithms, building capability across the discipline.
  • Define standards for designing, evaluating, and maintaining ontologies across programs.
  • Shape methodologies and data architectures that demonstrate value at scale, in partnership with business and technical leaders directing end-to-end delivery across complex 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 such as AWS, Azure, and Google Cloud Platform.
  • Proficiency in Python and experience with TensorFlow, PyTorch, and tools for building ETL pipelines such as Apache NiFi and Airflow.
  • Experience collaborating across engineering, research, and product teams across multiple time zones.
  • External client-facing consulting experience.
  • A Ph.D. in Computer Science, Computer or 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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