Forward Deployment Engineer – Enterprise Knowledge Systems

NTT
London
Workplace: HybridFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 5+ yearsSkills: ["Consulting","Communication","Stakeholder management","Problem-solving","Secure-by-design engineering"]

Design and deploy production-ready enterprise knowledge systems that enable next-generation AI applications. Partner with customers to assess structured/unstructured knowledge assets, define roadmaps, and architect solutions using knowledge graphs, ontologies, semantic technologies, and contextual data platforms. Build and optimize retrieval architectures such as GraphRAG, Hybrid RAG, Agentic RAG, and semantic search, integrating with LLMs, AI agents, and enterprise workflows with secure-by-design, scalable engineering practices.

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FursaFursa
NTT
NTT
1 week ago

Forward Deployment Engineer – Enterprise Knowledge Systems

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Job Summary

Design and deploy production-ready enterprise knowledge systems that enable next-generation AI applications. Partner with customers to assess structured/unstructured knowledge assets, define roadmaps, and architect solutions using knowledge graphs, ontologies, semantic technologies, and contextual data platforms. Build and optimize retrieval architectures such as GraphRAG, Hybrid RAG, Agentic RAG, and semantic search, integrating with LLMs, AI agents, and enterprise workflows with secure-by-design, scalable engineering practices.
Location: London
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Engage with customers to identify business challenges solvable via contextual AI and knowledge-driven architectures.
  • •Assess enterprise knowledge assets and existing knowledge management capabilities across structured and unstructured data.
  • •Define roadmaps and design production-ready enterprise knowledge platforms enabling AI-native transformation.
  • •Architect and develop retrieval and reasoning solutions including GraphRAG, Hybrid RAG, Agentic RAG, and contextual retrieval architectures.
  • •Integrate enterprise knowledge platforms with AI agents, LLMs, enterprise applications, and workflows while ensuring secure, scalable, maintainable, and explainable solutions.

Key Requirements

  • •5+ years of experience designing, building, and maintaining production-grade enterprise knowledge systems focused on knowledge graphs, ontologies, and semantic technologies.
  • •Proven experience delivering scalable, maintainable, and extensible knowledge graph solutions for enterprise applications.
  • •Expertise in ontology engineering, semantic modeling, taxonomy design, and enterprise knowledge representation.
  • •Deep understanding of graph databases and semantic standards including RDF, OWL, SPARQL, property graphs, linked data, and semantic interoperability.
  • •Experience designing and implementing GraphRAG/Hybrid RAG/contextual retrieval architectures and integrating enterprise knowledge systems with LLMs, AI agents, and enterprise applications.
Experience:5+ yearsEnterprise AIKnowledge graphsGenerative AI
Skills:ConsultingCommunicationStakeholder managementProblem-solvingSecure-by-design engineering
Tech Stack:Knowledge graphsGraph databasesGraphRAGHybrid RAGAgentic RAGOntologiesSemantic technologiesSemantic layersSemantic modelingTaxonomy designMetadata managementContextual data platformsRDFOWLSPARQLProperty graphsLinked dataSemantic interoperabilityVector searchSemantic search

Company Brief

NTT
Dimension Data, operating under NTT Ltd, provides managed IT services, cloud and data center solutions, networking, cybersecurity, and digital transformation services to enterprise customers worldwide.
Industry: Professional Services
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Valuation: Public Company (Market Cap in USD)
Headquarters: London, United Kingdom
Founded: 1983
WebsiteLinkedIn