Automation Test Engineer - AI in London

Location: London, Birmingham, Bristol, Manchester (multiple locations available)

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.

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.

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

• Embed 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.
• Execute intelligent exploratory testing, design and perform advanced exploratory testing charters augmented by AI‑driven insights and heuristics to identify risks, edge cases and hidden defects in complex architectures.
• Develop automation with OOP & AI augmentation; build and maintain 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. Apply OOP principles to create clean, maintainable and scalable test code in Java or Python.
• Leverage Cloud & AI‑Integrated test infrastructure; operate 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.
• Drive Agentic AI in testing; design, implement and experiment 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.
• Improve client delivery with AI insights; identify bottlenecks in delivery pipelines and leverage AI‑driven analytics and predictive insights to recommend strategic QA improvements, enhancing deployment speed, quality and stability.
• Maintain strategic interlock across teams; collaborate 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.
• 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.

Benefits

Accenture offers a competitive basic salary, up to 25 days of vacation per year, private medical insurance and an additional 3 days of leave per year for charitable work of your choice. Flexibility and mobility are required to deliver this role; there will be requirements to spend time onsite with our clients and partners.

Equal Employment Opportunity Statement

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women.