AI-Enabled QA Test Automation Engineer

• Seeking a highly experienced AI-enabled QA Test Automation Engineer to lead quality engineering efforts for the Client Growth Retention CGR portfolio
• This role will be responsible for establishing and executing quality strategies that ensure the successful delivery of reliable, scalable, and business-critical solutions across multiple applications and integrated platforms.
• The successful candidate will partner closely with business stakeholders, product owners, architects, and engineering teams to drive quality throughout the software development lifecycle while supporting both project-based initiatives and operational requests
• As the client continues its Quality Engineering transformation, AI-enabled testing and automation are expected to be embedded into all testing solutions
• The ideal candidate will bring a modern engineering mindset and demonstrate the ability to leverage AI-powered tools and practices to improve quality, accelerate delivery, and increase testing efficiency, * Quality Strategy Delivery
• Lead quality planning, test strategy, and validation activities for complex business initiatives
• Ensure comprehensive test coverage across functional integration, regression, and end-to-end testing efforts
• Define quality metrics, monitor release readiness, and proactively identify delivery risks
• Champion continuous improvement and best practices within the Quality Engineering organization

Automation Modernization

• Design and maintain scalable test automation solutions that support enterprise application delivery
• Drive automation adoption across functional API and integration testing layers
• Leverage AI-powered tools and engineering practices to enhance test design, execution analysis, and maintenance
• Evaluate emerging technologies and recommend innovative approaches to improve quality outcomes

Integration Data Validation

• Validate complex interactions across multiple applications, services, and business processes
• Perform API, database, and end-to-end integration testing to ensure data accuracy and system reliability
• Support operational and business-driven testing requests that require coordination across multiple teams and platforms

Agile Stakeholder Collaboration

• Collaborate with product, business architecture, and development teams throughout the delivery lifecycle
• Participate in Agile ceremonies and contribute to planning, estimation, risk assessment, and release activities
• Communicate testing progress, risks, and recommendations to technical and business stakeholders
• Serve as a trusted quality advisor for project and operational initiatives

Continuous Delivery Governance

• Support automated quality controls within CICD pipelines
• Manage testing activities, defects, and quality reporting using enterprise test management tools
• Ensure compliance with established quality standards and governance processes, * The successful candidate will
• Lead the adoption of AI-first Quality Engineering in the project
• Expand automation coverage while reducing manual testing effort and release risk
• Ensure reliable validation of business-critical integrations and operational changes
• Influence quality strategy across cross-functional teams
• Improve delivery predictability product quality and stakeholder confidence

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related discipline
• 7 years of experience in Software Quality Assurance, Test Automation, or Quality Engineering
• Demonstrated experience leading testing efforts for complex enterprise applications
• Strong expertise in test automation frameworks, API testing, data validation, and system integration testing
• Hands-on experience with modern automation technologies including Selenium, Playwright, WebdriverIO, Java, and Python
• Hands-on experience with AI-assisted engineering platforms such as Cursor, Claude Code, GitHub Copilot, ChatGPT Enterprise, or similar technologies
• Experience working within Agile and DevOps delivery environments
• Strong analytical, troubleshooting, and problem-solving skills
• Excellent communication and stakeholder management capabilities
• Practical experience applying AI-enabled tools and techniques within software testing or software engineering processes, * Experience in the Insurance or Financial Services industry
• Knowledge of cloud native architecture APIs and microservices-based systems
• ISTQB Agile Testing or related industry certifications
• Experience implementing AI-driven approaches for test generation automation optimization or quality analytics