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Our Partner is a leading technology solutions Group of Companies specializing in the Fintech industry and supporting organizations across more than 30 countries worldwide. The Group operates a highly complex, regulated Fintech ecosystem built across a mixed technology landscape, including: .NET-based monolithic and microservices architectures across legacy and transitional domains Java-based monolithic and microservices architectures across legacy and transitional domains Heavy Duty RDBMS and Non-RDBMS mandates of Fintech Front-end applications built in React, Angular, and TypeScript Azure as the primary cloud and infrastructure environment The environment is characterized by uneven maturity across products, ranging from modern cloud-native architectures to legacy monolithic systems that are still business-critical. This creates both engineering complexity and transformation opportunity at scale. The QA Organisation: The Quality Engineering function consists of approximately 55 professionals, structured across product-aligned QA teams under 3 QA Heads reporting to the Director of QA, with strategic oversight from the Deputy COO (former QA Director and Head of Engineering). The role will be placed within a high-maturity QA stream which is currently acting as a pilot environment for next-generation Quality Engineering practices. We have partnered to look for a Senior AI-Driven QA Engineer to join their QA Shared Services function and help evolve quality engineering practices across products, teams and delivery pipelines. Strategic Mandate: The organization is transitioning from Traditional automation → Scaled automation → AI-enabled Quality Engineering. AI is currently used for test case generation. The mandate is to evolve towards a Full lifecycle AI-assisted Quality Engineering in production environments Role Positioning Initially an individual contributor role inside the pilot QA stream Fast-track evolution into leadership (supported by QA Director + Deputy COO) Influences approximately 33% of product portfolio (modernization-heavy domains) Role Mission: Combining hands-on technical expertise with a coaching and enablement mindset, you will be responsible for accelerating the organization’s quality engineering maturity and helping embed quality throughout the software delivery lifecycle. Through cross-team collaboration, mentorship and engineering-first testing practices, you will help shape a culture where quality becomes a shared responsibility. This role is designed for an engineering-minded QA professional who combines strong automation expertise with a consultant mindset; someone who can influence teams, coach engineers, modernize testing practices and act as a quality ambassador across the organization. Core Responsibilities: AI-Driven Quality Engineering (Primary Focus) Research and experiment in how AI contributes to test selection, prioritization, and risk coverage Design and implement AI-assisted testing strategies across product domains Expand AI usage from test generation into end-to-end quality engineering workflows Develop validation approaches for complex, distributed, and non-deterministic systems Evaluate and industrialize emerging AI QA tools into production-ready workflows Automation Engineering & Framework Development Build and enhance scalable test automation frameworks (Playwright preferred) Develop robust UI and API automation across .NET, Java, and hybrid systems Strengthen CI/CD-integrated testing pipelines in Azure DevOps Improve reliability, maintainability, and reusability of test assets across teams Cross-System Quality Enablement Work across multiple product teams as a shared QE technical authority Harmonize, as far as possible, automation approaches across heterogeneous tech stacks Improve testability, observability, and release confidence across domains Contribute to shift-left practices and engineering-led qua