Automation Test Engineer - AI

Role: Automation Test Engineer - AI 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. Note: The above information relates to a specific client requirement 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. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. 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. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. “Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us.” – Julie Sweet, Accenture CEO 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. We provide bespoke software solutions that enable organisations to meet customer demands modernise critical infrastructure and accelerate time-to-market.   By applying Secure by Design principles and   leveraging   Agile frameworks DevOps best practices and cloud-native architectures we ensure compliance with technical standards regulatory requirements and organisational goals.   The scale of our capabilities and client engagements and our collaborative approach to   operating   and delivering value   provide   an unparalleled opportunity for growth and advancement.   The Role As a n 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.   You will utilise your expertise in Cloud environments (AWS/GCP) and Object-Oriented Programming (OOP) to build intelligent, scalable automation solutions, while actively driving the adoption of AI-powered testing tools, autonomous test agents, and data-driven quality insights to modernise the testing lifecycle for our clients.   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. This allows for testing the idea before it becomes 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 are 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 ,   s elf-healing automation ,   LLM-assisted scripting or debug