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Accenture

Advises businesses and runs their technology

Knowledge Engineering Senior Analyst

Data ManagementConfirmed live in the last 24 hours
Full-timeLondon, UKNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree or equivalent.
  • Experience in at least three of the following areas: Knowledge Graph technologies such as RDF, SPARQL, LPG, and SHACL; schema design, ontology management, and Knowledge Graph curation; designing and developing Knowledge Graph solutions and graph-based machine learning models; end-to-end data pipeline implementation for AI applications, especially large language models, including hands-on design and configuration; and relational databases, object stores, graph databases such as Stardog, Neo4j, and 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 they integrate cleanly with the broader system.
  • Work alongside the project team and delivery leads.
  • Build working relationships with client counterparts on the workstream.
  • Help assemble supporting evidence for the recommended semantic layer solution.
  • Support Accenture sales efforts when called upon.
  • 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 current methodologies, techniques, and algorithms with appropriate architecture, and begin guiding junior engineers on the project.
  • 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 a part of an end-to-end solution.

Desired Qualifications

  • Hands-on experience with cloud platforms such as AWS, Azure, or GCP.
  • Experience with Python, frameworks such as TensorFlow and PyTorch, and ETL pipeline tools such as Apache NiFi and Airflow.
  • Practical experience with natural language processing and/or search techniques.
  • Prompt engineering and large language models for enterprise-scale applications.
  • Team lead experience.
  • Experience collaborating across engineering, research, and product teams across multiple time zones.
  • External client-facing consulting experience.
  • 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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