Rodeo
Get started

NTT Ltd.

Forward Deployment Engineer – Enterprise Knowledge Systems

GBR, Home Office
Posted about 12 hours ago
Sign up to applySee more jobs like this

How your CV stacks up

1Upload CV
2Analyse CV
3Improve CV

Upload your CV to see how well it fits this job role

?%

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.

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.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

See breakdown
Save jobNot relevant
View details

It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

See breakdown
Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

See breakdown
Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

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.

Get help with your application

Your very own career expert that helps elevate your application to the next level.

Get help applying for this job

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. Join our growing global team and accelerate your career with us. Apply today.

Third parties fraudulently posing as NTT DATA recruiters

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. All email communications from an NTT DATA recruiter will come from an @nttdata.com email address. If you suspect any fraudulent activity, please contact us.

Trusted by 25,000+ job seekers

“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”

Jessica, London

Get help applying for this job

Skills

Knowledge Graphs
Ontology Engineering
Semantic Technologies
Graph Databases
GraphRAG
LLMs
AI Agents
Taxonomy Design
Metadata Management
Contextual Data Platforms
SPARQL
RDF
OWL
Machine Learning
Generative AI
Cloud Computing

Location

United Kingdom

Sign up to applySee more jobs like this