Knowledge Engineering Consultant

About the role

You will work as an individual contributor knowledge engineer, progressing towards a team‑lead role. You will translate real‑world problems into scalable AI and Knowledge Graph solutions, handling the full lifecycle from data ingestion to deployment.

Key responsibilities

• Build Knowledge Graph components that transform client data architecture.
• Design, develop, and implement AI and semantic solutions that integrate with broader systems.
• Collaborate with project teams, delivery leads, and client counterparts to deliver end‑to‑end solutions.
• Support Accenture sales efforts and contribute to evidence gathering for semantic layer recommendations.
• Continuously develop skills in cutting‑edge Data & AI technologies and share knowledge with the team.

Required profile

• Bachelor's degree or equivalent.
• At least 2 years of experience with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL).
• Minimum 2 years in schema design, ontology management, and KG curation.
• Experience designing KG solutions and graph‑based ML models.
• 1+ year implementing end‑to‑end data pipelines for AI applications, especially LLMs.
• Strong knowledge of relational, object, graph (Stardog, Neo4J, Amazon Neptune) and vector databases.
• Team‑lead experience and client‑facing consulting background.

Required skills

• RDF, SPARQL, LPG, SHACL
• Schema design, ontology management, KG curation
• Graph‑based machine learning models
• Data pipeline tools (Apache NiFi, Airflow)
• Relational, object, graph (Stardog, Neo4J, Amazon Neptune) and vector databases
• Cloud platforms: AWS, Azure, GCP
• Python programming
• TensorFlow, PyTorch
• NLP, search techniques, prompt engineering, LLMs for enterprise applications