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 quality culture Transformation & Influence Establish the practices from a pilot to standardized phase. Act as a key contributor in shaping next-generation QE practices Support standardization efforts across QA teams and product lines Enable adoption of AI-assisted testing practices across squads Success Indicators AI-assisted testing moves from pilot usage into production-level adoption Automation frameworks become shared organizational assets QA practices across teams become more standardized and scalable Measurable improvement in release confidence and regression efficiency Reduced manual regression effort through intelligent automation The pilot stream becomes a reference model for enterprise-wide QE transformation Requirements Proven capability to operate across multiple teams and architectures A relevant degree 6+ years of experience in software testing and test automation Strong hands-on expertise in modern automation frameworks (Playwright preferred) Experience across API and UI automation in complex enterprise environments Solid understanding of CI/CD pipelines (Azure DevOps or equivalent) Familiarity or active exposure to AI-assisted testing or intelligent validation approaches Knowledge of test data and environment management Comfort in influencing without direct authority, with readiness to step into leadership Native-level fluency in Greek Strong business fluency in English Eligible to work in Greece It would also be nice if you have: Exposure to banking, fintech, or highly regulated environments ISTQB certification Hands-on experience working in mixed technology environments, including .NET, Java, microservices, and frontend frameworks Demonstrated experience introducing meaningful QA or engineering change in the last 12–18 months Experience working across various SDLC flows, including Scrum and Waterfall Benefits The Company Offers: Competitive salary package 49000-60300 EUR annually Meal benefits: Ticket restaurant (120 euros x 12) and annual bonus program. Private health insurance and onsite occupational doctor Cutting-edge IT equipment