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 tech and digital solutions.
- Benefits: Flexible work options, tailored benefits, and continuous learning opportunities.
- Other info: Be part of a diverse and inclusive workplace that values your contributions.
- Why this job: Make a real impact in AI-driven projects while growing your career.
- Qualifications: Experience in software development and automation frameworks is essential.
The predicted salary is between 60000 - 80000 £ 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 quality checks that incorporate AI/GenAI & agentic AI across the full SDLC. Key to this role is the ability to lead and inspire a team, fostering a collaborative and productive work environment.
This is a hands-on product building experience that cuts across the full SDLC, not just test automation and QE. You will lead the expansion of our existing portfolio of Quality Engineering assets and services. Strong verbal and written communication skills to effectively convey technical information to non-technical stakeholders are essential.
You will join a highly focused quality engineering team that are experts in driving an AI & agentic AI engineering-led approach to delivering value for our clients. You are responsible for ensuring Shift-Left Testing, emphasising early testing in the development lifecycle. Experience with multiple Automation Frameworks that support various types of testing is required.
You will play a key role as an AI mentor and train your team on the latest testing tools and methodologies. You will always look for ways to drive SDLC efficiencies and improve the quality engineering approach. Knowledge of capturing the value created through defining and tracking quality metrics is important.
What Experience You'll Bring:
- 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 that cuts across the full SDLC - not just test automation and QE
- Experience in building RAG systems with a nice-to-have on fine-tuning LLMs
- Comfortable with IAS (Infra As Code) e.g., giving a high-level spec
- Fully understands test automation (across platforms and functional/non-functional) and associated tech
- Presentation skills for C-Suite clients and in-house
- Databases: SqlServer, MySQL, Oracle, MongoDB, H2
- Performance: Gatling, JMeter, WebPageTest, LightHouse
- Hands-on software test automation, ideally founded on a background as a senior Developer
- Experienced in building a strategy covering all aspects of the SDLC process, development, automation, CI, and metrics
- Experienced in helping teams evolve an Agile ‘Shift Left’ way of working
- Experience of 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) and practical application of the principles
- Comfortable working with Git repositories and workflows on multiple tasks concurrently
- Ability to manage and lead code review processes, mitigate conflicts within the team and ensure quality work is merged in the main branch
- Proactively collaborate with the Front-end development team, understand the design of the Front-end and discuss issues with developers to better understand requirements and expectations
- Understanding of CI/CD pipelines and their importance in the Automation Testing process
- Understanding of non-functional requirements and testing, with a focus on performance (but also accessibility, compatibility and aspects of security)
Nice to Have:
- MCP, Django and nice-to-have Entra/Gunicorn
- GitHub Actions, GitLab pipelines, Azure DevOps pipelines, Jenkins (any experience on these will be beneficial)
- AWS experience
- Experience with tools: Cypress, Playwright, Webdriver.io (but with strong experience in Selenium)
- Understanding (better experience) with Contract Testing frameworks (preferably PACT)
- Experience setting up E2E testing frameworks with automation in mind, covering all aspects of the SDLC
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. Serving 75% of the Fortune Global 100, we encourage experimentation and recognise great work. Proudly a Global Top Employer, NTT DATA is part of NTT Group, which invests over $3 billion annually in R&D.
We offer a range of tailored benefits that support your physical, emotional, and financial wellbeing. Our Learning and Development team ensures continuous growth and development opportunities for our people. We also offer flexible work options.
We are an equal opportunities employer, committed to promoting equity and diversity in our employment practices. We actively collaborate with individuals who have disabilities and long-term health conditions, ensuring that barriers are eliminated when it comes to employment opportunities. In line with our commitment, we guarantee an interview to applicants who declare a disability and meet the minimum requirements for the role.
Quality Engineering AI Lead Engineer employer: NTT DATA Europe & Latam
At NTT DATA, we pride ourselves on being a Global Top Employer, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through tailored benefits, continuous learning opportunities, and flexible work options, all designed to support your physical, emotional, and financial wellbeing. Join our award-winning Quality Engineering team in a role that not only challenges you but also allows you to make a meaningful impact in the world of AI and technology.
Contact Details:
NTT DATA Europe & Latam Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Quality Engineering AI Lead Engineer
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at NTT DATA Europe & Latam or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to NTT DATA Europe & Latam.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like NTT DATA Europe & Latam.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like NTT DATA Europe & Latam that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Quality Engineering AI Lead Engineer
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at NTT DATA Europe & Latam.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at NTT DATA Europe & Latam and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at NTT DATA Europe & Latam
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If NTT DATA Europe & Latam uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
