Senior Knowledge Graph Engineer & AI Architect

Accenture PLC; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Accenture plc in London is seeking a strong individual contributor knowledge engineer evolving into a team lead to transform real-world problems into scalable AI and knowledge graph solutions, working hands‑on from ingestion to deployment. You will guide junior engineers and collaborate with users, architects and product teams.

You will apply current knowledge engineering, LLM and multi‑modal techniques, design ontologies, and help articulate the business value of AI and KG approaches to clients

Qualifications

• Bachelor's degree or equivalent plus at least three of the listed requirements.
• Experience with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL).
• Experience in schema design, ontology management, and KG curation.
• Experience designing and developing KG solutions and graph-based ML models.
• Experience with end-to-end data pipelines for AI apps (LLMs).
• Strong knowledge of relational and graph databases and vector stores.

Responsibilities

• Build Knowledge Graph components transforming client data architectures.
• Design, develop, and implement AI and semantic solutions integrated with the broader system.
• Collaborate with project team and delivery leads.
• Develop solid client relationships on the workstream.
• Contribute evidence for the recommended semantic layer solution.
• Support Accenture sales efforts when called on.
• Keep skills in cutting-edge Data & AI solutions and share with the team.

Skills

Knowledge Graph technologies

Schema design

KG curation

KG solutions and graph-based ML models

End-to-end data pipelines for AI

Relational & graph databases

NLP and/or Search techniques

Prompt engineering and LLMs

External client-facing consulting

Agentic systems

Education

Bachelor's degree or equivalent

Tools

Python

TensorFlow

PyTorch

Apache NiFi

Airflow

Job description

Accenture plc in London is seeking a strong individual contributor knowledge engineer evolving into a team lead to transform real-world problems into scalable AI and knowledge graph solutions, working hands‑on from ingestion to deployment. You will guide junior engineers and collaborate with users, architects and product teams.

You will apply current knowledge engineering, LLM and multi‑modal techniques, design ontologies, and help articulate the business value of AI and KG approaches to clients