Lead Knowledge Engineer - Graph & AI Solutions

Accenture UK & Ireland; Dublin; On-site; EUR 90,000 - 130,000; Full time

Job summary

Accenture UK & Ireland is seeking a senior knowledge engineer transitioning into a team lead role. The candidate will drive full knowledge graph lifecycle work, from ingestion to modeling and deployment, applying NLP, LLMs, and agentic AI where appropriate.

You will collaborate with users, engineers, architects, and UI designers to deliver end-to-end AI solutions and contribute to client data architecture transformations across multiple time zones.

Qualifications

• Experience with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL).
• Experience in schema design, ontology management, and KG curation.
• Well versed in designing and developing KG solutions and graph-based ML models (functional + technical).
• Proven experience with end-to-end data pipeline implementation for AI applications (esp. LLMs), with hands-on design and configuration.
• Strong knowledge and working experience with relational databases, object stores, graph databases (Stardog, Neo4J, 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; ensure their work integrates cleanly with the broader system.
• Work alongside the project team and delivery leads.
• Build solid working relationships with client counterparts on their workstream.
• Help assemble the supporting evidence for the recommended semantic layer solution.
• Support Accenture sales efforts when called on.
• Keep developing skills in cutting-edge Data & AI solutions, especially agentic technologies, and shares with the team.

Education

Bachelor's degree or equivalent

Tools

AWS

Azure

GCP

Python

TensorFlow

PyTorch

Apache NiFi

Airflow

RDF

SPARQL

LPG

SHACL

Stardog

Neo4J

Amazon Neptune

Job description

Accenture UK & Ireland is seeking a senior knowledge engineer transitioning into a team lead role. The candidate will drive full knowledge graph lifecycle work, from ingestion to modeling and deployment, applying NLP, LLMs, and agentic AI where appropriate.

You will collaborate with users, engineers, architects, and UI designers to deliver end-to-end AI solutions and contribute to client data architecture transformations across multiple time zones.