NTT DATA Europe & Latam
QEAI Engineer

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The team you'll be working with:
As a QE AI Engineer, you will join a Quality Engineering team focused on modern software delivery, automation, and AI-enabled engineering across the SDLC.
This is a hands-on engineering role for someone with strong software development and Quality Engineering experience who can contribute to the design, build, and improvement of modern QE solutions. You will work across test automation, engineering quality, and AI-enabled accelerators that support delivery teams in improving quality, speed, and efficiency.
You will help develop reusable QE assets, frameworks, and tooling, while working closely with engineers, testers, and stakeholders to embed quality earlier in the lifecycle. You will also support the adoption of AI/GenAI capabilities in practical QE use cases such as test generation, defect analysis, and quality reporting.
What you'll be doing:
- Design, build, test, and maintain quality engineering solutions across the SDLC
- Contribute to the development and enhancement of reusable QE assets, accelerators, and automation frameworks
- Apply a shift-left approach by helping teams embed quality practices earlier in the development lifecycle
- Build and support automation across web, API, and non-functional testing
- Contribute to AI-enabled QE use cases such as:
- test case generation
- test data preparation and augmentation
- defect analysis
- quality metrics and reporting
- engineering productivity tooling
- Work with structured and unstructured data to support AI and quality engineering solutions
- Evaluate the effectiveness of automation and AI-enabled solutions, and recommend practical improvements
- Monitor and report on progress, identify issues, and help resolve delivery and engineering challenges
- Collaborate with developers, product teams, and other engineers to understand requirements and deliver fit-for-purpose solutions
- Participate in reviews of code, design, and test solutions
- Support and mentor team members where appropriate, including sharing knowledge of modern QE and AI-assisted engineering practices
What experience you'll bring:
- Relevant experience in software engineering, SDET, Quality Engineering, or test automation roles
- Strong hands-on experience developing and maintaining automated test solutions
- Experience contributing to software delivery across the full SDLC, not limited to test execution
- Experience working with at least one modern programming language such as Python (is a MUST), Java, JavaScript/Typescript or C#
- Experience with web, API, and non-functional testing approaches
- Experience using CI/CD pipelines to integrate and run automated tests
- Good understanding of object-oriented programming principles and modern engineering practices
- Experience working with Git-based source control and collaborative development workflows
- Strong problem-solving and analytical skills
- Good written and verbal communication skills
- Ability to work independently under general direction and collaborate effectively as part of a team
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
AI / GenAI experience
We are looking for someone with practical experience or strong exposure to AI-enabled engineering solutions, ideally in testing, automation, or developer productivity use cases.
This may include experience with:
- AI application patterns
- Retrieval-Augmentation Generation (RAG)
- prompt engineering
- tool calling
- agentic workflows
- evaluation of LLM-based outputs
- Frameworks and orchestration
- LangChain
- LangGraph
- CrewAI
- Models and platforms
- OpenAI and/or Azure OpenAI
- Vector search and retrieval
- Weaviate or equivalent vector database technology
- Data and model support
- selecting and preparing data for AI-enabled solutions
- evaluating model or workflow outputs
- identifying opportunities to improve data quality and model effectiveness
- Typical QE use cases
- test generation
- defect analysis
- quality reporting
- knowledge retrieval
- engineering support tooling
Experience with fine-tuning LLMs is beneficial but not required.
Nice to have
- Experience with contract testing frameworks, preferably Pact
- Experience building end-to-end automation frameworks from scratch
- Experience deploying Python services using frameworks such as Django or FastAPI
- Familiarity with Gunicorn
- Familiarity with Microsoft Entra ID
- Experience with browser-based agent tooling such as Browser Use
- Experience contributing to reusable internal tools, accelerators, or QE assets
- Experience mentoring junior engineers or supporting capability uplift within a team


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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 belong, learn, and build your network. 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.
You can find more information about NTT DATA UK & Ireland here: https://uk.nttdata.com/
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 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.
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