Knowledge Engineering Consultant

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

YOU ARE

You are a a strong individual contributor knowledge engineer growing into a team lead. You are well versed in the full knowledge graph development lifecycle. You formulate real-world problems into practical, efficient, scalable AI and Knowledge Graph solutions, working hands-on across the lifecycle from ingestion through modeling, curation, and deployment. You apply current methodologies, techniques, and algorithms with the right architecture, and begin to guide junior engineers on the project. You stay current with knowledge engineering, generative AI, LLM, and multi-modal models; look for opportunities to apply them to the problem at hand. You design, evaluate, and maintain ontologies as needed. You help articulate the value of generative AI and knowledge graph approaches for a given business problem. You share what they learn with the team. You collaborate with users, use case reps, engineers, architects, and UI designers to deliver their piece of an end-to-end solution.

THE WORK

• 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

BASIC (REQUIRED) QUALIFICATION

• 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)

PREFERRED QUALIFICATION

• 2+ years of hands-on experience with cloud platforms (AWS, Azure, GCP)
• 2+ years of experience in Python, with experience in frameworks like Tensorflow, PyTorch, and tools for building ETL pipelines (e.g. Apache NiFi, Airflow)
• Practical experience with NLP and/or Search techniques
• Prompt engineering, and LLMs for enterprise-scale applications.
• You have team lead experience
• Strong collaboration skills with the ability to work across engineering, research, and product teams across multiple time zones.
• You have external client-facing consulting experience
• Broad experience in diverse ML techniques and agentic systems