Senior Knowledge Graph Engineer — AI & Ontology Architect

Accenture UK; Greater London; On-site; GBP 70,000 - 120,000; Full time

Job summary

Accenture UK is seeking a strong knowledge engineer advancing toward a team lead role. You will work across the full knowledge graph lifecycle, turning real-world problems into scalable AI and KG solutions.

You will guide junior engineers and collaborate with users, engineers, architects, and UI designers on end-to-end delivery. You will build KG components, design semantic layers, and apply current AI/multi-modal approaches.

Qualifications

• Bachelors or equivalent and experience with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL).
• Experience in schema design, ontology management, and KG curation.
• Expertise in designing and developing KG solutions and graph-based ML models (functional + technical).
• Experience with end-to-end data pipeline implementation for AI applications (esp. LLMs).
• Experience with relational databases, object stores, graph databases (Stardog, Neo4J, Amazon Neptune), and vector databases.

Responsibilities

• Build Knowledge Graph components contributing to transforming a client's data architecture.
• Design, develop, and implement AI and semantic solutions; ensure integration with broader systems.
• Collaborate with project team and delivery leads.
• Establish solid relationships with client counterparts on their workstream.
• Help assemble evidence for the recommended semantic layer solution.
• Support Accenture sales efforts when called on.
• Keep skills up-to-date in Data & AI solutions, especially agentic technologies, and share with the team.

Skills

Knowledge Graph technologies

KG schema design

KG solutions & graph ML

End-to-end data pipelines for AI apps

Relational & graph databases

Education

Bachelor's degree or equivalent

Tools

Python

TensorFlow

PyTorch

Apache NiFi

Airflow

Job description

Accenture UK is seeking a strong knowledge engineer advancing toward a team lead role. You will work across the full knowledge graph lifecycle, turning real-world problems into scalable AI and KG solutions.

You will guide junior engineers and collaborate with users, engineers, architects, and UI designers on end-to-end delivery. You will build KG components, design semantic layers, and apply current AI/multi-modal approaches.