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- Tasks: Design and implement innovative AI solutions using AWS technology.
- Company: Join NTT DATA UK&I, a global leader in tech innovation.
- Benefits: Flexible work options, tailored benefits, and continuous learning opportunities.
- Other info: Inclusive culture with diverse networks and excellent career growth.
- Why this job: Make a real impact in the exciting field of generative AI.
- Qualifications: Experience in AI, AWS/Azure, and strong problem-solving skills.
The predicted salary is between 60000 - 80000 £ per year.
We are seeking highly skilled and experienced Gen AI specialists 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 GraphRAG solution is however a good place to start and be a proving ground.
Key Responsibilities:
- 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
Required Skills and Qualifications:
- 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
- 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
We’re a business with a global reach that empowers local teams, and we undertake hugely exciting work that is genuinely changing the world. Our advanced portfolio of consulting, applications, business process, cloud, and infrastructure services will allow you to achieve great things by working with brilliant colleagues and clients on exciting projects. Our inclusive work environment prioritises mutual respect, accountability, and continuous learning for all our people. This approach fosters collaboration, well-being, growth, and agility, leading to a more diverse, innovative, and competitive organisation.
We offer a range of tailored benefits that support your physical, emotional, and financial wellbeing. Our Learning and Development team ensure that there are continuous growth and development opportunities for our people. We also offer the opportunity to have flexible work options.
We are an equal opportunities employer. We believe in the fair treatment of all our employees and commit to promoting equity and diversity in our employment practices. We are also a proud Disability Confident Committed Employer - we are committed to creating a diverse and inclusive workforce. We actively collaborate with individuals who have disabilities and long-term health conditions which have an effect on their ability to do normal daily activities, ensuring that barriers are eliminated when it comes to employment opportunities. In line with our commitment, we guarantee an interview to applicants who declare to us, during the application process, that they have a disability and meet the minimum requirements for the role. If you require any reasonable adjustments during the recruitment process, please let us know. Join us in building a truly diverse and empowered team.
GenAI developer in London employer: NTT DATA
Contact Detail:
NTT DATA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GenAI developer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the GenAI space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those using AWS tech. This gives us a tangible way to see what you can do.
✨Tip Number 3
Prepare for the interview by brushing up on generative AI techniques and AWS services. We love candidates who can dive deep into technical discussions!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for passionate individuals to join our team.
We think you need these skills to ace GenAI developer in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with AWS and generative AI techniques in your application. We want to see how your skills align with the role, so don’t hold back on showcasing your technical prowess!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. Mention the key responsibilities and required skills from the job description, and explain how your background makes you a perfect fit for our Gen AI team.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use straightforward language and avoid jargon unless it’s relevant. We appreciate a well-structured application that’s easy to read!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at NTT DATA
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of AWS technologies and generative AI techniques. Be ready to discuss specific projects where you've implemented these solutions, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your ability to solve complex problems independently. Think about situations where you had to troubleshoot or innovate without much oversight, and be ready to share those stories during the interview.
✨Understand the Ethics of AI
Since the role involves working with AI, it's crucial to demonstrate your understanding of AI ethics and data safety, especially in relation to Large Language Models. Be prepared to discuss how you ensure ethical practices in your work.
✨Collaborate and Communicate
This position requires collaboration with off-shore teams, so be ready to talk about your experience working in diverse teams. Highlight your communication skills and any tools you've used to facilitate collaboration across different time zones.