Forward Deployment Engineer – Enterprise Knowledge Systems

NTT DATA, Inc.; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

NTT DATA, Inc. is seeking a Forward Deployment Engineer to help customers build intelligent enterprise knowledge ecosystems powering next‑generation AI applications.

You will work directly with clients to understand business challenges, assess knowledge landscapes, and design production‑ready solutions using knowledge graphs, ontologies, and semantic technologies, with GraphRAG and contextual retrieval.

Qualifications

• 5+ years of experience designing, building, and maintaining production-grade enterprise knowledge systems, with a strong focus 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, RDF, OWL, SPARQL, property graphs, linked data, and semantic interoperability.
• Experience designing and implementing GraphRAG, Hybrid RAG, contextual retrieval, vector search, semantic search, and enterprise knowledge retrieval architectures.
• Experience integrating enterprise knowledge systems with LLMs, AI agents, machine learning, generative AI, and enterprise applications.
• Broad knowledge of modern AI, cloud, and enterprise technologies, with the ability to rapidly learn, evaluate, and adopt emerging technologies.
• Experience with containerization, CI/CD, MLOps/LLMOps, observability, and secure-by-design engineering practices.
• Demonstrated ability to leverage AI-assisted development and intelligent engineering tools to accelerate solution delivery.
• Excellent consulting, communication, stakeholder management, and problem-solving skills.

Responsibilities

• Engage with customers to identify business challenges that can be solved through contextual AI and knowledge-driven architectures.
• Assess enterprise knowledge assets, structured and unstructured data, taxonomies, metadata, and existing knowledge management capabilities.
• Define roadmaps for building enterprise knowledge platforms that enable AI-native transformation.
• Design, develop, and deploy production-ready enterprise knowledge systems and rapid Proofs of Value (PoVs).
• Architect enterprise knowledge solutions using knowledge graphs, graph databases, semantic layers, ontologies, metadata management, and contextual data platforms.
• Design GraphRAG, Hybrid RAG, Agentic RAG, and contextual retrieval architectures to improve AI reasoning, explainability, and accuracy.
• Develop scalable ontologies, taxonomies, semantic models, and enterprise knowledge representations that evolve with business needs.
• Integrate enterprise knowledge platforms with AI agents, LLMs, enterprise applications, and business workflows.
• Evaluate emerging technologies and recommend the most appropriate architectures and engineering approaches for each customer.
• Ensure solutions are secure by design, scalable, maintainable, explainable, and aligned with enterprise governance.

Skills

Knowledge graphs

Ontology engineering

Semantic technologies

Graph databases

RDF/OWL/SPARQL

Enterprise knowledge systems

Consulting

Tools

RDF

OWL

SPARQL

Graph databases

Contextual data platforms

Containerization

CI/CD

MLOps/LLMOps

Job description

Make an impact with NTT DATA

Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.

Forward Deployment Engineer

We are looking for a Forward Deployment Engineer specializing in Enterprise Knowledge Systems to help customers build intelligent enterprise knowledge ecosystems that power next-generation AI applications. You will work directly with clients to understand their business challenges, assess their knowledge landscape, and design production-ready solutions leveraging knowledge graphs, contextual data platforms, graph databases, GraphRAG, ontologies, and semantic technologies.

Key Responsibilities

• Engage with customers to identify business challenges that can be solved through contextual AI and knowledge-driven architectures.
• Assess enterprise knowledge assets, structured and unstructured data, taxonomies, metadata, and existing knowledge management capabilities.
• Define roadmaps for building enterprise knowledge platforms that enable AI-native transformation.
• Design, develop, and deploy production-ready enterprise knowledge systems and rapid Proofs of Value (PoVs).
• Architect enterprise knowledge solutions using knowledge graphs, graph databases, semantic layers, ontologies, metadata management, and contextual data platforms.
• Design GraphRAG, Hybrid RAG, Agentic RAG, and contextual retrieval architectures to improve AI reasoning, explainability, and accuracy.
• Develop scalable ontologies, taxonomies, semantic models, and enterprise knowledge representations that evolve with business needs.
• Integrate enterprise knowledge platforms with AI agents, LLMs, enterprise applications, and business workflows.
• Evaluate emerging technologies and recommend the most appropriate architectures and engineering approaches for each customer.
• Ensure solutions are secure by design, scalable, maintainable, explainable, and aligned with enterprise governance.

Requirements

• 5+ years of experience designing, building, and maintaining production-grade enterprise knowledge systems, with a strong focus 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, RDF, OWL, SPARQL, property graphs, linked data, and semantic interoperability.
• Experience designing and implementing GraphRAG, Hybrid RAG, contextual retrieval, vector search, semantic search, and enterprise knowledge retrieval architectures.
• Experience integrating enterprise knowledge systems with LLMs, AI agents, machine learning, generative AI, and enterprise applications.
• Broad knowledge of modern AI, cloud, and enterprise technologies, with the ability to rapidly learn, evaluate, and adopt emerging technologies.
• Experience with containerization, CI/CD, MLOps/LLMOps, observability, and secure-by-design engineering practices.
• Demonstrated ability to leverage AI-assisted development and intelligent engineering tools to accelerate solution delivery.
• Excellent consulting, communication, stakeholder management, and problem-solving skills.

What Success Looks Like

You build enterprise knowledge systems that become strategic assets for the organization. Your knowledge graphs and ontologies are not prototypes—they are scalable, maintainable, and production-ready, supporting AI agents, GraphRAG, enterprise search, digital twins, and decision intelligence. You combine deep semantic expertise with customer-facing consulting skills to design innovative, customized solutions that deliver measurable business value while remaining technology-agnostic.

Workplace type

Hybrid Working

About NTT DATA

NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 70 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in R&D.

Equal Opportunity Employer

NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity.

We are committed to providing an environment free of unfair discrimination and harassment.

We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category.

Third parties fraudulently posing as NTT DATA recruiters

All email communications from an @nttdata.com email address.

If you suspect any fraudulent activity, please contact us.

NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters whether in writing or by phone in order to deceptively obtain personal data or money from you.