Position
Automation Test Engineer – AI
Location: London, Birmingham, Bristol, Manchester
Salary: Competitive (based on experience)
Level: CL9 – Consultant
Security clearance: Any offer of employment is subject to satisfactory BPSS and SC security clearance requiring 5 years continuous UK address history (no periods of 30 consecutive days or more spent outside the UK) and declaration of being a British passport holder with no dual nationality at the point of application.
Note: The above information relates to a specific client requirement.
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, allowing testing the idea before code.
- 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. OOP principles applied to create clean, maintainable and scalable test code in Java or Python.
- 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 (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, and AI tooling ecosystem.
- AI Tooling Ecosystem: Familiarity with tools/platforms such as LLMs (e.g., GPT-based tools), AI test platforms (self‑healing frameworks, intelligent test optimisation tools), data-driven QA, and continuous learning mindsets.
Benefits
- Competitive basic salary and extensive benefits package.
- Up to 25 days of vacation per year.
- Private medical insurance.
- 3 extra days leave per year for charitable work of your choice.
Flexibility and mobility are required: you must be willing to spend time onsite with our clients and partners to deliver first‑class services.
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