Data Engineer - Knowledge Graphs & Ai - Accenture

OverviewInscríbase rápido, consulte la descripción completa desplazándose hacia abajo para conocer todos los requisitos de este puesto.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 / Beneficiosprivate medical, life and accident insurancemedical services and wellbeing programsflexible benefits program and employee share purchase planflexible working arrangementspersonalized learning and career development pathssustainability initiatives and Accenture Foundation participationResponsabilidadesBuild Knowledge Graph components contributing to client data architecture transformationsDesign, develop and implement AI/semantic solutions with clean integrationCollaborate with project teams, delivery leads and client counterpartsAssemble evidence for recommended semantic layer solutionsSupport Accenture salesEfforts when called onContinue developing skills in cutting-edge Data & AI solutions and agentic technologiesRequisitos principalesKnowledge Graph technologies (RDF, SPARQL, LPG, SHACL) xqysrnhSchema design, ontology management and KG curationEnd-to-end KG solutions and graph-based ML modelsData pipeline design/configuration for AI/LLMsRelational databases, object stores, graph DBs (Stardog, Neo4J, Neptune) and vector DBsFluent Spanish with English at least B2/C1team leadership experiencestrong collaboration across engineering, research and product teamsclient-facing communicationPythonTensorFlowPyTorch

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 / Beneficiosprivate medical, life and accident insurancemedical services and wellbeing programsflexible benefits program and employee share purchase planflexible working arrangementspersonalized learning and career development pathssustainability initiatives and Accenture Foundation participationResponsabilidadesBuild Knowledge Graph components contributing to client data architecture transformationsDesign, develop and implement AI/semantic solutions with clean integrationCollaborate with project teams, delivery leads and client counterpartsAssemble evidence for recommended semantic layer solutionsSupport Accenture salesEfforts when called onContinue developing skills in cutting-edge Data & AI solutions and agentic technologiesRequisitos principalesKnowledge Graph technologies (RDF, SPARQL, LPG, SHACL) xqysrnhSchema design, ontology management and KG curationEnd-to-end KG solutions and graph-based ML modelsData pipeline design/configuration for AI/LLMsRelational databases, object stores, graph DBs (Stardog, Neo4J, Neptune) and vector DBsFluent Spanish with English at least B2/C1team leadership experiencestrong collaboration across engineering, research and product teamsclient-facing communicationPythonTensorFlowPyTorch

OverviewInscríbase rápido, consulte la descripción completa desplazándose hacia abajo para conocer todos los requisitos de este puesto.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.