Knowledge Engineering Consultant

Accenture Belgium; Brussel; On-site; EUR 80,000 - 120,000; Full time

Job summary

Accenture Belgium is seeking a strong knowledge engineer growing into a team lead to own the Knowledge Graph lifecycle from ingestion through deployment. You will design and implement AI/semantic solutions and collaborate with cross-functional teams to deliver end-to-end results.

Required: 2+ years in Knowledge Graph tech (RDF, SPARQL, KG curation), experience with graph databases, and Python ML tooling; leadership and client-facing consulting experience preferred.

Qualifications

• Bachelor's degree or equivalent
• 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
• Minimum 1 year of end-to-end data pipeline implementation for AI apps (esp. LLMs)
• Minimum 2 years of experience with relational databases, object stores, graph databases (e.g. Stardog, Neo4J, Neptune)

Responsibilities

• Build Knowledge Graph components for transforming a client's data architecture
• Design, develop, and implement AI and semantic solutions
• Collaborate with project team and delivery leads
• Build relationships with client counterparts on their workstream
• Assemble supporting evidence for the semantic layer solution
• Support Accenture sales efforts when called on
• Develop skills in cutting-edge Data & AI solutions and share with the team

Skills

Knowledge Graph

RDF

SPARQL

Ontology design

KG curation

Graph ML

Data pipeline for AI apps

Relational/Graph DBs

Cloud platforms

Python

TensorFlow/PyTorch

NLP/Search

Prompt engineering

Team lead experience

Consulting experience

Education

Bachelor's degree or equivalent

Tools

Stardog

Neo4J

Amazon Neptune

Apache NiFi

Airflow

Docker

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.

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