Knowledge Graph & AI Engineer — Growth to Tech Lead

Accenture PLC; Brussel Hoofdstad; On-site; EUR 70,000 - 100,000; Full time

Job summary

Accenture PLC in Belgium seeks an experienced knowledge engineer evolving into a team lead to drive knowledge graph projects across ingestion, modeling, curation, and deployment. You will apply AI and graph-based ML to real-world business problems, guiding junior engineers and collaborating with users, engineers, and architects for end-to-end delivery.

Responsibilities include ontology design, semantic layer evaluation, and client collaboration while staying current with generative AI, NLP, and

Qualifications

• Bachelor's degree or equivalent, plus at least 3 of the following.
• Minimum 2 years of experience with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL).
• Minimum 2 years of experience in schema design, ontology management, and KG curation.
• Minimum 2 years of designing and developing KG solutions and graph-based ML models (functional + technical).
• Minimum 1 year of experience with end-to-end data pipeline implementation for AI applications (esp. LLMs), with hands-on design and configuration
• Minimum 2 years of experience with strong knowledge of relational databases, object stores, graph databases (Stardog, Neo4J, Amazon Neptune), and vector databases.
• (no leadership/commercial requirement at this band)

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.

Skills

Knowledge Graph technologies

Schema design & KG curation

KG solutions & graph ML models

End-to-end data pipelines for AI

Relational / Graph databases

Cloud platforms (AWS/Azure/GCP)

Python + ML frameworks

NLP / Search techniques

Prompt engineering / LLMs

Team lead experience

Cross-team collaboration

Client-facing consulting

Agentic ML / diverse ML techniques

Education

Bachelor's degree or equivalent

Job description

Accenture PLC in Belgium seeks an experienced knowledge engineer evolving into a team lead to drive knowledge graph projects across ingestion, modeling, curation, and deployment. You will apply AI and graph-based ML to real-world business problems, guiding junior engineers and collaborating with users, engineers, and architects for end-to-end delivery.

Responsibilities include ontology design, semantic layer evaluation, and client collaboration while staying current with generative AI, NLP, and