Senior Knowledge Graph Engineer & AI Solutions Lead

Accenture; City Of London; On-site; GBP 80,000 - 120,000; Full time

Job summary

Accenture is seeking a Knowledge Engineering Senior Analyst in Greater London to design and build knowledge graphs and AI solutions across the lifecycle.

You will work hands-on from ingestion through modeling and deployment, guiding junior engineers, collaborating with users and engineers across time zones, and supporting sales efforts with semantic layer evidence.

Strong knowledge of RDF/SPARQL, KG design, NLP/ML, and cloud platforms is required, with experience in agentic systems.

Qualifications

• Knowledge of RDF, SPARQL, LPG, SHACL.
• Experience with KG design, ontology management, KG curation.
• End-to-end data pipelines for AI/LLMs, with hands-on design.
• Strong relational and graph DB knowledge; vector databases.

Responsibilities

• Build Knowledge Graph components contributing to client data architecture.
• Design, develop, and implement AI/semantic solutions; integrate with system.
• Collaborate with project team and delivery leads.
• Build solid client relationships on the workstream.
• Assemble evidence for the semantic layer solution.
• Support Accenture sales efforts when called on.
• Develop skills in data & AI, especially agentic tech, and share with the team.

Skills

Knowledge Graph technologies

KG design & curation

KG solutions & graph ML models

End-to-end data pipeline for AI/LLMs

Relational databases & graph databases

Cloud platforms (AWS/Azure/GCP)

Python & ML frameworks (TensorFlow, Py

Education

Bachelor's degree or equivalent

Tools

Stardog

Neo4J

Amazon Neptune

Job description

Accenture is seeking a Knowledge Engineering Senior Analyst in Greater London to design and build knowledge graphs and AI solutions across the lifecycle.

You will work hands-on from ingestion through modeling and deployment, guiding junior engineers, collaborating with users and engineers across time zones, and supporting sales efforts with semantic layer evidence.

Strong knowledge of RDF/SPARQL, KG design, NLP/ML, and cloud platforms is required, with experience in agentic systems.