At a Glance
- Tasks: Lead a quality engineering team and build innovative AI tools for high-quality software.
- Company: Join NTT DATA, a leader in tech innovation based in Greater London.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
- Other info: Be part of a dynamic team that values innovation and collaboration.
- Why this job: Make a real impact by driving quality and efficiency in cutting-edge AI projects.
- Qualifications: Extensive experience in QE or development, with strong communication and automation skills.
The predicted salary is between 60000 - 80000 £ per year.
NTT DATA is seeking a QE AI Engineer & QE Architect based in Greater London. This role demands extensive experience as a Senior QE SDET Engineer or Senior Developer, with a strong focus on building AI tools and ensuring high-quality engineering practices across the full SDLC.
The successful candidate will lead the quality engineering team while mentoring colleagues and driving efficiencies through innovative testing methodologies. The ideal applicant will possess exceptional communication skills, comfortable conveying complex concepts to both technical and non-technical stakeholders. Familiarity with various automation frameworks and a devout commitment to quality are essential for this vital role.
AI-Driven QE Architect & Lead Engineer in London employer: NTT DATA
At NTT DATA, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture in the heart of Greater London. Our commitment to employee growth is evident through continuous learning opportunities and mentorship programmes, ensuring that our team members thrive in their careers while contributing to cutting-edge AI-driven projects. Join us to be part of a dynamic environment where your expertise will not only be valued but also have a meaningful impact on the future of quality engineering.
StudySmarter Expert Advice🤫
We think this is how you could land AI-Driven QE Architect & Lead Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI tools and quality engineering projects. This is your chance to demonstrate your expertise and innovative testing methodologies to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex concepts in simple terms, as you'll need to convey your ideas to both technical and non-technical stakeholders.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are passionate about quality engineering and AI. It shows initiative and commitment, which we value highly.
We think you need these skills to ace AI-Driven QE Architect & Lead Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your experience with AI tools and quality engineering practices, as these are key for us at NTT DATA.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for the role. Share specific examples of how you've led teams or implemented innovative testing methodologies in the past.
Showcase Your Communication Skills:Since this role involves conveying complex concepts to various stakeholders, make sure to demonstrate your communication skills in your application. Use clear and concise language to show us you can bridge the gap between technical and non-technical audiences.
Apply Through Our Website:We encourage you to apply directly through our website. This ensures your application gets to the right place and allows us to review your details more efficiently. Plus, it’s super easy!
How to prepare for a job interview at NTT DATA
✨Know Your AI Tools
Make sure you brush up on the AI tools and frameworks you've worked with. Be ready to discuss specific projects where you've implemented these technologies, as this will show your hands-on experience and understanding of their impact on quality engineering.
✨Showcase Your Leadership Skills
Since this role involves leading a team, prepare examples of how you've successfully mentored colleagues or driven a project to success. Highlight your ability to communicate complex ideas clearly to both technical and non-technical stakeholders.
✨Demonstrate Your Commitment to Quality
Be prepared to discuss your approach to ensuring high-quality engineering practices throughout the SDLC. Share specific methodologies or innovative testing strategies you've employed in past roles to drive efficiencies.
✨Practice Common Interview Questions
Familiarise yourself with common interview questions for QE roles, especially those focusing on automation frameworks and quality assurance. Practising your responses can help you articulate your thoughts more clearly during the actual interview.
