GenAI Architect Testing & Automation

Job Description We are seeking a highly experienced GenAI Architect with a Testing & Automation background to drive the integration of Generative AI (GenAI) and AI/ML technologies into our testing and Verification & Validation (V&V) service offerings. The ideal candidate will have extensive hands-on experience in AI-driven test automation, architecture, and strategy, with the ability to re-engineer existing systems and develop AI-based automation accelerators. Key Responsibilities: Architect and integrate GenAI/AI solutions into existing testing, automation, and V&V service offerings. Re-design internal and customer systems to incorporate GenAI for enhanced automation and efficiency. Develop AI-powered test solutions in collaboration with cross-functional teams and customers. Drive the adoption of GenAI technologies for test automation across the organization. Assess and recommend AI-driven automation strategies to clients based on their existing testing frameworks. Identify and define high-value use cases where AI-powered automation can improve efficiency. Collaborate with clients and partners to align test automation solutions with business and market needs. Technical Skills & Expertise: AI & GenAI Expertise: Extensive experience in AI/ML architecture and implementations for Test Automation, Accelerators, and V&V projects. Strong knowledge of GenAI models and their applications in automated testing. Test Automation & Tools: Test Automation Architecture & Development expertise for Web, Mobile, Cloud, API, and Embedded systems. Hands-on experience with automation frameworks such as: Selenium Appium Cucumber TestNG Custom-built automation accelerators Experience in manual testing methodologies, including: Test Development Life Cycle (TDLC) Various testing types (Functional, Regression, Performance, Security, etc.) Creating test approaches/plans Consulting & Leadership: Lead QA assessment teams to evaluate customers testing processes and provide strategic recommendations for GenAI adoption. Identify opportunities for AI-based testing solutions, accelerators, platforms, and tools. Work closely with product teams and clients to define feature requirements and ensure alignment with market needs. Required Skills & Qualifications: 15 years of experience in software testing, automation, and AI/ML-powered test solutions. Strong understanding of AI/ML-driven automation frameworks. Proven experience in integrating AI-powered automation into enterprise testing environments. Strong problem-solving and analytical skills with a focus on innovation. Excellent communication and stakeholder management skills to collaborate with cross-functional teams and clients. Preferred Skills (Good to Have): Experience in GenAI-based predictive analytics for testing. Expertise in QA tools such as JIRA, TestRail, or Zephyr. Knowledge of DevOps and CI/CD pipelines. Exposure to ITAM, CSM, GRC, and LSD. .