At a Glance
- Tasks: Lead a cutting-edge Quality Engineering team and drive innovation in AI testing.
- Company: Join NTT DATA, a global leader in tech and digital solutions.
- Benefits: Flexible work options, tailored benefits, and continuous growth opportunities.
- Other info: Be part of a diverse team committed to equity and inclusion.
- Why this job: Make an impact with AI while developing your skills in a dynamic environment.
- Qualifications: Experience in software development and automation frameworks is essential.
The predicted salary is between 70000 - 90000 £ per year.
The team you'll be working with: As a QE AI Engineer & QE Architect, you will have the opportunity of joining an award winning Quality Engineering team that is working on some of the most cutting edge technologies that is embracing new innovations, such as in built quality checks that embraces AI/GenAI & agentic AI across the full SDLC. What is key to this role is the ability to lead and inspire a team, fostering a collaborative and productive work environment.
What you'll be doing: 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. Having strong verbal and written communication skills to effectively convey technical information to non-technical stakeholders is a must. You will join a highly focused quality engineering team that are experts in driving a AI & agentic AI engineering led approach to driving value for our clients. You are responsible to ensure Shift-Left Testing emphasising early testing in the development lifecycle. You will have experience of multiple Automation Frameworks that support various types of testing. 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 to improve the quality engineering approach. You will have knowledge on capturing the value created through defining and tracking quality metrics.
What experience you'll bring:
- Extensive experience as a Senior QE SDET Engineer or Senior Developer
- Has breadth of experience across different tech-stacks, such as JavaScript/TypeScript, Java, C#, or Python, amongst others
- Experienced in RAG Weaviate, OpenAI, Agents, MCP, Langchain, Prompt Engineering, Browser-Use, and Django
- Experienced 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.
- Experienced in building RAG system with a nice-to-have on fine-tuning LLMs
- Cleaning/augmenting data
- Comfortable with IAS (Infra As Code) eg. giving a high-level spec
- Fully understands test automation (across platforms and functional/non-functional) and associated tech
- Presentation skills - C-Suite clients and in-house Mentoring - non-AI SDETs
- Innovation - art of the possible
- Experienced in Junit, Jest, PyTest, NUnit, Appium, WDIO, Selenium, Cypress, BrowserStack, Swagger, WireMock, Postman et al
- Development frameworks: Spring, Angular, .NET, Node et al
- CI/CD: Jenkins, GitLab CI/CD, Docker/AWS, Azure DevOps
- Databases: SqlServer, MySQL, Oracle, MongoDB, H2
- BDD: Cucumber, FitNesse, SpecFlow, RestAssured, EasyB et al
- Performance: Gatling, JMeter, WebPageTest, LightHouse
- Security & code quality: SonarQube, Jacoco, PiTest, OWASP, Axe et al
- 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
- Hands on using Spring Java, Angular, Python, GitLab CI/CD, Junit, Jest, Cucumber, Bash, Gatling et al
- 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
- Has a depth of knowledge in the Object-oriented Programming paradigm (OOP) and has practically applied 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 get quality work merged in the main branch
- Proactively collaborate with the Front-end development team, understand the design of the Front-end and discussing issues with the developers to better understand requirements and expectations
- Understanding of CI/CD pipelines and their importance in 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 any of these 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 the aspects of the SDLC
Who we are: At NTT DATA, you have endless opportunities to think big, act bold and take ownership. As a $30+ billion business and technology services, AI and digital infrastructure leader, we co-innovate solutions with clients and partners globally for business and societal impact. Serving 75% of the Fortune Global 100, with experts in over 70 countries, we encourage experimentation and recognize great work. Proudly a Global Top Employer, NTT DATA is part of NTT Group, which invests over $3 billion annually in R&D. Make this the place where you grow.
What we’ll offer you: 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.
QE AI Lead Engineer employer: NTT America, Inc.
At NTT DATA, we pride ourselves on being an award-winning employer that fosters a culture of innovation and collaboration. As a QE AI Lead Engineer, you will not only work with cutting-edge technologies but also benefit from tailored support for your wellbeing, continuous learning opportunities, and flexible work options. Join us in a diverse and inclusive environment where your contributions are valued and your career can thrive.
StudySmarter Expert Advice🤫
We think this is how you could land QE AI Lead Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage on platforms like LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your hands-on experience. Be ready to discuss your past projects and how you've applied your skills in real-world scenarios. We want to see your passion for quality engineering!
✨Tip Number 3
Don’t just apply blindly! Tailor your approach for each role. Research the company, understand their tech stack, and align your skills with their needs. This shows you're genuinely interested and not just sending out generic applications.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. It’s also a chance to reiterate your enthusiasm for the role and the company. Plus, it shows you’re proactive!
We think you need these skills to ace QE AI Lead Engineer
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with AI and Quality Engineering. We want to see how your skills align with the role, so don’t hold back on showcasing your relevant projects!
Show Off Your Communication Skills:Since you'll be conveying technical info to non-technical folks, it’s crucial to demonstrate your written communication prowess. Use clear, concise language in your application to reflect this ability.
Highlight Your Hands-On Experience:We love candidates who have practical experience! Be sure to mention any hands-on product building or automation frameworks you've worked with. This will show us you’re ready to dive into the role.
Apply Through Our Website:For the best chance of getting noticed, apply directly through our website. It’s the easiest way for us to keep track of your application and ensure it gets to the right people!
How to prepare for a job interview at NTT America, Inc.
✨Know Your Tech Stack
Make sure you’re well-versed in the tech stacks mentioned in the job description, like JavaScript, Python, and various automation frameworks. Brush up on your knowledge of RAG Weaviate and OpenAI, as these are crucial for the role.
✨Showcase Your Leadership Skills
Since this role involves leading a team, be prepared to discuss your leadership style and how you've inspired teams in the past. Share specific examples of how you've fostered collaboration and productivity in previous roles.
✨Communicate Clearly
Strong verbal and written communication skills are essential. Practice explaining complex technical concepts in simple terms, especially for non-technical stakeholders. This will demonstrate your ability to bridge the gap between tech and business.
✨Emphasise Shift-Left Testing
Be ready to discuss your experience with Shift-Left Testing and how it improves the SDLC. Highlight any strategies you've implemented to ensure early testing and how you've driven efficiencies in quality engineering.
