Gen AI Developer

GEN AI Developer/Graph RAG Developer 

We are seeking a group of highly skilled and experienced Gen AI specialists to join our
dynamic Gen AI COE inside NTT DATA UK&I. The ideal candidates 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, however we are aware that
some of the technology we are dealing with is cutting edge and no-one will have long-lived
experience.
We have a GraphRAG platform which has been deployed to two clients. It exists on AWS but
is being ported to Azure – so we are looking for specialists in both. There is significant
interest in this technology and we wish to start building team of people who know how to
deploy, customise and extend the solution.
These people would eventually take on a wider range of responsibilities, within our COE, for
example to work on novel projects. The GraphRAG solution is however a good place to start
and be a proving ground.
What you’ll be doing;
 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.
What you’ll bring;
Technical data engineers with a strong desire and drive to learn new technologies, and to
apply these technologies in new spaces
 People 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:
o AWS (boto3, Bedrock, Sagemaker, Lambda, S3, EC2)
o Azure (azure Open AI service, Cosmos DB)
 Python
Preferred Qualifications
 Langgraph
 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

Sensitivity Label: General

Aptitude
 Dealing with ambiguity
 Problem solving
 Curiosity
Other Requirements
 SC cleared or 5 years uninterrupted residency in the UK and be prepared to go
through SC clearance process