At a Glance
- Tasks: Lead a cutting-edge Quality Engineering team and drive innovation with AI technologies.
- Company: Join NTT DATA, a global leader in technology services and AI solutions.
- Benefits: Enjoy flexible work options, competitive salary, and continuous learning opportunities.
- Other info: Be part of a diverse and inclusive workplace that values your growth.
- Why this job: Make a real impact by shaping the future of quality engineering and AI.
- Qualifications: Experience in software development, automation frameworks, and strong leadership skills.
The predicted salary is between 70000 - 90000 £ per year.
As a QE AI Engineer & QE Architect, you will have the opportunity of joining an award-winning Quality Engineering team that is working on cutting-edge technologies, embracing new innovations such as built-in quality checks that utilise AI/GenAI & agentic AI across the full SDLC.
Key responsibilities include:
- Leading and inspiring a team, fostering a collaborative and productive work environment.
- Expanding our existing portfolio of Quality Engineering assets and services.
- Ensuring Shift-Left Testing, emphasising early testing in the development lifecycle.
- Mentoring and training your team on the latest testing tools and methodologies.
- Driving SDLC efficiencies and improving the quality engineering approach.
- Capturing the value created through defining and tracking quality metrics.
Experience required:
- Extensive experience as a Senior QE SDET Engineer or Senior Developer.
- Experience building AI Tools, Agents, and Agentic workflows (LangGraph, CrwAI).
- Hands-on product building experience across the full SDLC.
- Experience in building RAG systems with a nice-to-have on fine-tuning LLMs.
- Comfortable with Infrastructure as Code (IaC).
- Fully understands test automation across platforms and functional/non-functional testing.
- Strong presentation skills for C-Suite clients and in-house innovation.
- Familiarity with databases: SqlServer, MySQL, Oracle, MongoDB, H2.
- Experience with performance testing tools: Gatling, JMeter, WebPageTest, LightHouse.
- Hands-on software test automation experience, ideally with a background as a senior developer.
- Experience in building a strategy covering all aspects of the SDLC process, development, automation, CI, and metrics.
- Experience in helping teams evolve an Agile ‘Shift Left’ way of working.
- Experience in building advanced and feature-rich test automation frameworks from scratch using Object-oriented and scripted languages.
- Depth of knowledge in the Object-oriented Programming paradigm (OOP).
- Comfortable working with Git repositories and workflows on multiple tasks concurrently.
- Ability to manage and lead code review processes and mitigate conflicts within the team.
- Proactively collaborate with the Front-end development team to understand design and discuss issues.
- Understanding of CI/CD pipelines and their importance in the Automation Testing process.
- Understanding of non-functional requirements and testing, focusing on performance, accessibility, compatibility, and security.
Nice to have:
- MCP, Django, and experience with Entra/Gunicorn.
- Experience with GitHub Actions, GitLab pipelines, Azure DevOps pipelines, Jenkins.
- AWS experience.
- Experience with tools like Cypress, Playwright, Webdriver.io, with strong experience in Selenium.
- Understanding of Contract Testing frameworks (preferably PACT).
- Experience setting up E2E testing frameworks with automation in mind.
At NTT DATA, you have endless opportunities to think big, act bold, and take ownership. We co-innovate solutions with clients and partners globally for business and societal impact. We encourage experimentation and recognise great work.
We offer a range of tailored benefits that support your physical, emotional, and financial wellbeing, along with continuous growth and development opportunities. Flexible work options are also available.
We are an equal opportunities employer, committed to promoting equity and diversity in our employment practices. We guarantee an interview to applicants who declare a disability and meet the minimum requirements for the role.
Qaulity Engineering AI Lead Engineer employer: NTT DATA Europe & Latam
At NTT DATA, we pride ourselves on being an award-winning employer that fosters a culture of innovation and collaboration. As a Quality Engineering AI Lead Engineer, you will not only work with cutting-edge technologies but also benefit from tailored development opportunities and flexible work options, all while being part of a diverse and inclusive team that values your contributions. Join us to grow your career in a supportive environment where your ideas can thrive and make a real impact.
Contact Details:
NTT DATA Europe & Latam Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Qaulity Engineering AI Lead Engineer
✨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 projects, especially those related to AI and Quality Engineering. This gives you a chance to demonstrate your hands-on experience and creativity beyond just a CV.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to Quality Engineering. Think about how you can convey your experience with automation frameworks and your leadership style in a way that resonates with the interviewers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our awesome team at NTT DATA.
We think you need these skills to ace Qaulity Engineering AI Lead Engineer
Some tips for your application 🫡
Show Your Passion for Quality Engineering:When writing your application, let your enthusiasm for quality engineering shine through! Share specific examples of how you've embraced cutting-edge technologies and innovations in your previous roles. We love seeing candidates who are genuinely excited about the field.
Tailor Your Application:Make sure to customise your application to highlight your experience with AI tools and automation frameworks. We want to see how your skills align with our needs, so don’t hesitate to mention relevant projects or achievements that showcase your expertise.
Communicate Clearly:Strong communication skills are key for this role, especially when conveying technical information to non-technical stakeholders. Use clear and concise language in your application to demonstrate your ability to communicate effectively. Remember, we’re looking for clarity as much as technical prowess!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at NTT DATA Europe & Latam
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially around AI tools and automation frameworks. Brush up on your knowledge of languages like OOP and be ready to discuss how you've applied them in real-world scenarios.
✨Showcase Your Leadership Skills
As a lead engineer, you'll need to inspire and guide your team. Prepare examples of how you've successfully led projects or mentored others in the past. Highlight your ability to foster collaboration and drive results within a team setting.
✨Communicate Clearly with Non-Techies
You’ll need to convey complex technical information to non-technical stakeholders. Practice explaining your past projects in simple terms, focusing on the value they brought to the business. This will demonstrate your communication skills and your understanding of the bigger picture.
✨Emphasise Shift-Left Testing
Be prepared to discuss your experience with Shift-Left Testing and how it improves the SDLC. Share specific examples of how you've implemented early testing strategies and the impact they had on project outcomes. This shows your proactive approach to quality engineering.
