A

Accenture

Advises businesses and runs their technology

Knowledge Engineering Consultant / Team Lead

Data EngineeringUpdated on Nov 12
Full-timeLondon, UKNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree or equivalent, plus at least three of the listed experience qualifications.
  • Experience with knowledge graph technologies, including RDF, SPARQL, LPG, or SHACL.
  • Experience in schema design, ontology management, and knowledge graph curation.
  • Proficiency in 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, or Amazon Neptune, and vector databases.

Responsibilities

  • Build knowledge graph components that contribute to transforming a client's data architecture.
  • Design, develop, and implement AI and semantic solutions, ensuring that the work integrates cleanly with the broader system.
  • Work alongside the project team and delivery leads.
  • Build working relationships with client counterparts on the assigned workstream.
  • Help assemble supporting evidence for the recommended semantic layer solution.
  • Support Accenture sales efforts when called on.
  • Continue developing skills in data and AI solutions, especially agentic technologies, and share learning with the team.
  • Work hands-on across the knowledge graph development lifecycle, from ingestion through modeling, curation, and deployment.
  • Formulate real-world problems into practical, efficient, scalable AI and knowledge graph solutions; apply appropriate methodologies, techniques, algorithms, and architecture.
  • Design, evaluate, and maintain ontologies as needed.
  • Help articulate the value of generative AI and knowledge graph approaches for business problems.
  • Collaborate with users, use case representatives, engineers, architects, and UI designers to deliver an end-to-end solution.
  • Guide junior engineers on the project.

Desired Qualifications

  • Hands-on experience with cloud platforms such as AWS, Azure, or GCP.
  • Proficiency in Python and experience with frameworks such as TensorFlow and PyTorch, and ETL pipeline tools such as Apache NiFi or Airflow.
  • Practical experience with natural language processing or search techniques.
  • Experience with prompt engineering and large language models for enterprise-scale applications.
  • Team lead experience.
  • External client-facing consulting experience.
  • Broad experience in diverse machine learning techniques and agentic systems.
  • Strong collaboration skills and ability to work across engineering, research, and product teams in multiple time zones.

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