Automation Test Engineer - AI

Automation Test Engineer - AI

Full-Time 50000 - 65000 £ / year (est.) On-site
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At a Glance

  • Tasks: Join us as an Automation Test Engineer, driving AI-first quality practices in software development.
  • Company: Accenture, a global leader in professional services and technology innovation.
  • Benefits: Enjoy competitive salary, 25 days vacation, private medical insurance, and extra leave for charity work.
  • Other info: Collaborative environment with opportunities for growth and learning in a dynamic tech landscape.
  • Why this job: Make a real impact by modernising testing with cutting-edge AI technologies.
  • Qualifications: 2+ years in Quality Engineering, strong OOP skills, and experience with automation tools.

The predicted salary is between 50000 - 65000 £ per year.

Role Location: London, Birmingham, Bristol, Manchester

Salary: Competitive (based on experience)

Level: CL9 – Consultant

Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history (typically including no periods of 30 consecutive days or more spent outside of the UK) and declaration of being a British passport holder with no dual nationalism at the point of application.

Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all these services. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity.

About us: Secure Transformation Services is the UK market leader for sovereign tech transformation for secure clients working on projects in complex regulated public sector environments. Our engineering teams deliver cutting-edge solutions that empower organisations to tackle complex challenges, modernise infrastructure and drive transformative growth.

The Role: As an AI Quality Engineer, you will act as a proactive consultant, embedding a Shift Left and AI-first mindset across the entire SDLC. You will embed quality early by preventing defects during requirements and design, leveraging AI-driven and Agentic testing approaches to enhance speed, accuracy, and scalability.

Key Responsibilities:

  • Embeds Shift Left & AI-Assisted Quality Practice by engaging in quality discussions during requirements and design phases, test case generation and risk identification to prevent defects before development begins.
  • Executes Intelligent Exploratory Testing, designs and performs advanced exploratory testing charters augmented by AI-driven insights and heuristics to identify risks, edge cases and hidden defects in complex architectures.
  • Develops Automation with OOP & AI Augmentation. Builds and maintains modular, reusable automated test frameworks (e.g. Playwright, Selenium, Cypress) incorporating AI-assisted script generation, self-healing automation frameworks and test optimisation using ML-based feedback loops.
  • Leverages Cloud & AI-Integrated Test Infrastructure. Operates within AWS/GCP environments to execute cloud-native and distributed test execution, manage test data pipelines and monitor logs and quality signals within CI/CD pipelines.
  • Drives Agentic AI in Testing. Designs, implements and experiments with Agentic AI testing solutions including autonomous test agents that generate, execute and adapt tests, AI-driven defect prediction and root cause analysis, intelligent test suite prioritisation and optimisation and continuous learning systems that improve test coverage over time.
  • Improves Client Delivery with AI Insights. Identifies bottlenecks in delivery pipelines and leverages AI-driven analytics and predictive insights to recommend strategic QA improvements, enhancing deployment speed, quality and stability.
  • Maintains Strategic Interlock Across Teams. Collaborates independently with cross-functional teams and insights to strengthen feedback loops between developers, product owners and stakeholders.

Skills & Experience:

  • 2+ Years Experience: Proven track record in Quality Engineering / Technical Testing roles.
  • Shift Left Expertise: Experience engaging early in SDLC (e.g., Three Amigos), with exposure to AI-assisted requirement/test analysis.
  • Manual & Exploratory Testing: Strong experience in designing exploratory test charters, ideally enhanced with data-driven or AI-supported techniques.
  • OOP & Programming: Solid understanding of OOP (Classes, Methods, Inheritance) with proficiency in Java or Python.
  • Automation Tools: Hands-on experience with frameworks like Playwright, Selenium, or Cypress.
  • AI-Augmented Testing Exposure: Working knowledge or hands-on exposure to AI-based test generation tools, self-healing automation, LLM-assisted scripting or debugging.
  • Independence: Ability to manage workstreams and collaborate effectively with minimal supervision.
  • API Testing: Experience testing REST APIs using tools like Postman or automation frameworks.

Desirable Skills (The Competitive Edge):

  • Cloud Proficiency: Experience with AWS or GCP (e.g., S3, EC2, Lambda, GKE).
  • Agentic AI Exposure: Experience or strong interest in autonomous testing agents, AI-driven test orchestration, prompt engineering for QA use cases.
  • AI Tooling Ecosystem: Familiarity with tools/platforms such as LLMs (e.g., GPT-based tools), AI test platforms (e.g., self-healing frameworks, intelligent test optimisation tools).
  • Data-Driven QA: Experience using test analytics, predictive quality metrics, or AI dashboards.
  • Continuous Learning Mindset: Demonstrated curiosity and experimentation with AI in QA.

What’s in it for you: At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes up to 25 days’ vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice!

Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first-class services we are known for.

Equal Employment Opportunity Statement: We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law.

Automation Test Engineer - AI employer: Accenture UK

Accenture UK is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Production AI Engineer, you will have access to extensive employee growth opportunities, including training in cutting-edge technologies and the chance to work on impactful projects with leading clients. Located in the heart of the UK, Accenture provides a vibrant environment where your contributions are valued, and your career can thrive.

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Contact Details:

Accenture UK Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Automation Test Engineer - AI

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✨Contribute to Open Source Projects

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We think you need these skills to ace Automation Test Engineer - AI

Quality Engineering
Shift Left Testing
AI-Assisted Requirement/Test Analysis
Manual Testing
Exploratory Testing
Object-Oriented Programming (OOP)
Java

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 Accenture UK.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Accenture UK 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 Accenture UK

✨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 Accenture UK 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.