Forward Deployment Engineer – Enterprise Knowledge Systems in London

Forward Deployment Engineer – Enterprise Knowledge Systems in London

London Full-Time 81000 - 99000 £ / year (est.) Home office (partial)
NTT DATA

At a Glance

  • Tasks: Design and deploy cutting-edge enterprise knowledge systems to power AI applications.
  • Company: Join NTT DATA, a leader in tech innovation and diversity.
  • Benefits: Hybrid work, competitive salary, and opportunities for professional growth.
  • Other info: Be part of a global team committed to responsible innovation and diversity.
  • Why this job: Make a real impact by building intelligent systems that transform businesses.
  • Qualifications: 5+ years in enterprise knowledge systems with expertise in knowledge graphs and semantic technologies.

The predicted salary is between 81000 - 99000 £ per year.

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.

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

Forward Deployment Engineer – Enterprise Knowledge Systems in London employer: NTT DATA

At NTT DATA, we pride ourselves on being an excellent employer that fosters a culture of innovation and collaboration. Our commitment to employee growth is evident through continuous learning opportunities and a supportive environment that encourages creativity in the rapidly evolving field of AI/ML security. Located in a vibrant tech hub, we offer competitive benefits and a dynamic workplace where your contributions directly impact the future of secure AI systems.

NTT DATA

Contact Details:

NTT DATA Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Forward Deployment Engineer – Enterprise Knowledge Systems in London

Join Local Tech Meetups

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Contribute to Open Source Projects

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We think you need these skills to ace Forward Deployment Engineer – Enterprise Knowledge Systems in London

Knowledge Graphs
Ontology Engineering
Semantic Technologies
Graph Databases
RDF
OWL
SPARQL

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at NTT DATA.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at NTT DATA and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at NTT DATA

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If NTT DATA uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.