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General AI Developer

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: NTT DATA
Full Time position
Listed on 2026-06-09
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 GBP Yearly GBP 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

Requirements

  • You must be eligible for SC (Security Check) clearance to apply for this position
  • Technical data engineer with a strong desire and drive to learn new technologies, and to apply these technologies in new spaces
  • Someone with a real technical facility to solve problems without significant oversight or leadership
  • An understanding of AI, and AI ethics
  • An understanding of data safety in use of Large Language Models
  • Knowledge and experience of either AWS or Azure:
  • AWS (boto3, Bedrock, Sagemaker, Lambda, S3, EC2)
  • Azure (azure Open AI service, Cosmos DB)
  • Python
  • Lang Graph
  • Neo4j/cypher
  • Other coding languages/frameworks e.g. Java/.Net
  • AI RAG (retrieval augmented generation)
  • Graph RAG
  • Few shot detection
  • Embedding models/LLMs - how they work, how they are trained
What the job involves
  • We are seeking highly skilled and experienced Gen AI specialist to join our dynamic Gen AI COE inside NTT DATA UK&I
  • The ideal candidate will have a strong background in designing and implementing AI solutions ideally using AWS technology
  • This role requires a deep understanding of generative AI techniques
  • The selected candidate would eventually take on a wider range of responsibilities, within our COE, for example to work on novel projects
  • The Graph

    RAG solution is however a good place to start and be a proving ground
  • Deploy solution into new customer tenant (based on a re-usable method)
  • Onboard customer documents into the solution, including making sure diagrams have been properly parsed
  • Configure Langchain for vector processing and graph extraction
  • Create agents to generate new outputs from existing knowledge graph
  • Tune prompts so that customers can find the information they are looking for
  • Collaborate with off-shore teams and share knowledge with other AI developers around the world
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