A

Accenture

Advises businesses and runs their technology

Knowledge Engineering Consultant

Data ManagementConfirmed live in the last 24 hours
Full-timeParis, FranceNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree or equivalent is required.
  • Experience with Knowledge Graph technologies, including RDF, SPARQL, LPG, or SHACL, is required for at least three of the listed qualification areas.
  • Demonstrated experience designing schemas, managing ontologies, and curating Knowledge Graphs is required for at least three of the listed qualification areas.
  • Familiarity with the functional and technical design and development of Knowledge Graph solutions and graph-based machine learning models is required for at least three of the listed qualification areas.
  • Experience implementing end-to-end data pipelines for AI applications, particularly large language models, including hands-on design and configuration, is required for at least three of the listed qualification areas.
  • Strong knowledge and experience with relational databases, object stores, graph databases such as Stardog, Neo4j, or Amazon Neptune, and vector databases is required for at least three of the listed qualification areas.

Responsibilities

  • Build Knowledge Graph components that contribute to transforming a client's data architecture.
  • Design, develop, and implement AI and semantic solutions, ensuring the work integrates cleanly with the overall system.
  • Work alongside the project team and delivery leads.
  • Establish strong working relationships with client stakeholders in the relevant business area.
  • Help gather supporting evidence for the recommended semantic-layer solution.
  • Support Accenture's business development efforts when requested.
  • Continue developing skills in cutting-edge Data and AI solutions, particularly agentic technologies, and share that knowledge with the team.
  • Apply current Knowledge Engineering methodologies, techniques, and algorithms with appropriate architecture across the development lifecycle, from ingestion through modeling, curation, and deployment.
  • Design, evaluate, and maintain ontologies as needed.
  • Contribute to demonstrating the value of generative AI and Knowledge Graph approaches for a given business problem.
  • Share learnings with the team.
  • Collaborate with users, use-case representatives, engineers, architects, and UI designers to contribute to an end-to-end solution.

Desired Qualifications

  • Hands-on experience with cloud platforms such as AWS, Azure, or GCP.
  • Professional experience with Python, frameworks such as TensorFlow and PyTorch, and ETL pipeline tools such as Apache NiFi or Airflow.
  • Hands-on experience with NLP and/or search techniques.
  • Prompt engineering and large language models for enterprise-scale applications.
  • Experience as a team lead.
  • Experience collaborating within engineering, research, and product teams distributed across time zones.
  • Client-facing consulting experience with external clients.
  • Broad experience with 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

Recently Posted Jobs

Explore more opportunities at Accenture

See more jobs