Data Engineer - Knowledge Graphs & AI

Overview

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As a Knowledge Graph Engineer in Accenture's Data & AI practice, you will design and deliver scalable knowledge graph and AI solutions that transform client data architectures. You’ll work across ingestion, modeling, curation and deployment, guiding junior engineers and exploring generative AI, LLMs, and multimodal approaches. You’ll collaborate with cross-functional teams and client stakeholders to articulate business value and craft a semantic layer that integrates with broader systems. This hybrid, client-focused role emphasizes hands-on delivery and knowledge sharing.

Compensaciones / Beneficios

• private medical, life and accident insurance
• medical services and wellbeing programs
• flexible benefits program and employee share purchase plan
• flexible working arrangements
• personalized learning and career development paths
• sustainability initiatives and Accenture Foundation participation

Responsabilidades

• Build Knowledge Graph components contributing to client data architecture transformations
• Design, develop and implement AI/semantic solutions with clean integration
• Collaborate with project teams, delivery leads and client counterparts
• Assemble evidence for recommended semantic layer solutions
• Support Accenture salesEfforts when called on
• Continue developing skills in cutting-edge Data & AI solutions and agentic technologies

Requisitos principales

• Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL) xkdbapo
• Schema design, ontology management and KG curation
• End-to-end KG solutions and graph-based ML models
• Data pipeline design/configuration for AI/LLMs
• Relational databases, object stores, graph DBs (Stardog, Neo4J, Neptune) and vector DBs
• Fluent Spanish with English at least B2/C1

• team leadership experience
• strong collaboration across engineering, research and product teams
• client-facing communication
• Python
• TensorFlow
• PyTorch