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Accenture

Advises businesses and runs their technology

Knowledge Engineering Manager

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeParis, FranceNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree or equivalent is required, along with at least four of the listed qualifications.
  • Mastery of Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL), schema design, ontology management, and knowledge graph governance.
  • Demonstrated experience designing and developing Knowledge Graph solutions and graph-based Machine Learning models, both functional and technical.
  • Strong experience implementing end-to-end data pipelines for AI applications, particularly large language models, including hands-on design and configuration.
  • Significant experience and strong knowledge of relational databases, object stores, graph databases such as Stardog, Neo4J, and Amazon Neptune, and vector databases.
  • Experience leading a team or workstream within a larger program.

Responsibilities

  • Lead the design of Knowledge Graph solutions that transform a client's data architecture within the program.
  • Guide the design, development, and implementation of AI and semantic solutions, ensuring all components work together seamlessly.
  • Work with project managers, delivery leads, and client stakeholders to create innovative graph-based Data & AI offerings.
  • Develop strong client relationships and earn the trust of key advisors.
  • Build the business case for the semantic-layer solution recommended to the client.
  • Contribute significantly to Accenture's business development and presales activities.
  • Provide thought leadership on technology trends, new opportunities, innovations, and foreseeable limitations, risks, and concerns.

Desired Qualifications

  • Hands-on experience with cloud platforms such as AWS, Azure, or GCP.
  • Professional experience with Python and proficiency in frameworks such as TensorFlow and PyTorch, as well as ETL pipeline tools such as Apache NiFi and Airflow.
  • Hands-on experience with Natural Language Processing techniques and/or search technologies.
  • Prompt engineering and use of large language models for enterprise-scale applications.
  • Ability to collaborate with engineering, research, and product teams distributed across multiple time zones.
  • Experience advising external clients.
  • A Ph.D. in computer science, computer or electrical engineering, mathematics, or a related field.
  • Extensive 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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