Lead Knowledge Engineer, Graph & AI Solutions

Accenture UK & Ireland; Greater London; Hybrid; GBP 85,000 - 120,000; Full time

Job summary

Accenture UK & Ireland seeks a knowledge engineer transitioning into a team lead role. You will own design, development and deployment of AI/Knowledge Graph solutions across ingestion, modeling and curation, guiding juniors and collaborating with users, engineers and product teams to deliver end-to-end outcomes.

You will apply current methodologies, build scalable ontologies, and keep advancing in LLMs, agentic systems, and NLP techniques to solve real business problems for clients in London and

Qualifications

• Bachelor's degree or equivalent plus 3+ related qualifications.
• Experience with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL).
• Expertise in KG design, curation, and graph-based ML models.
• End-to-end data pipeline experience for AI/LLMs with hands-on design.
• Strong knowledge of relational and graph databases (e.g., Neo4J, Neptune, Stardog).

Responsibilities

• Build Knowledge Graph components transforming a client's data architecture.
• Design, develop, and implement AI and semantic solutions integrated with the system.
• Collaborate with project team and delivery leads.
• Develop relationships with client counterparts for your workstream.
• Assemble evidence for the recommended semantic layer solution.
• Support Accenture sales efforts when called on.

Skills

Knowledge Graphs

RDF/SPARQL

KG Schema Design

KG Curation

Graph ML

End-to-end Data Pipelines

Relational & Graph DBs

Education

Bachelor's degree or equivalent

Tools

AWS

Azure

GCP

TensorFlow

PyTorch

Apache NiFi

Airflow

Neo4j

Stardog

Neptune

Job description

Accenture UK & Ireland seeks a knowledge engineer transitioning into a team lead role. You will own design, development and deployment of AI/Knowledge Graph solutions across ingestion, modeling and curation, guiding juniors and collaborating with users, engineers and product teams to deliver end-to-end outcomes.

You will apply current methodologies, build scalable ontologies, and keep advancing in LLMs, agentic systems, and NLP techniques to solve real business problems for clients in London and