Qe Ai Lead Engineer Job at NTT DATA (London)

Job Description

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.

Job Responsibility

Lead the expansion of our existing portfolio of Quality Engineering assets and services
Ensure Shift-Left Testing emphasising early testing in the development lifecycle
Play a key role as an AI mentor and train your team on the latest testing tools and methodologies
Always look for ways to drive SDLC efficiencies and to improve the quality engineering approach
Capture the value created through defining and tracking quality metrics

Requirements

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

What we offer

Flexible work options
Tailored benefits that support physical, emotional, and financial wellbeing
Learning and Development opportunities

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Qe Ai Lead Engineer

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