GenAI Strategist – Testing Transformation

Job Responsibilities - Define and drive the GenAI strategy for Quality Engineering and Testing transformation initiatives. - Identify opportunities to leverage Generative AI across the software testing lifecycle to improve quality, productivity, speed, and business outcomes. - Partner with clients and stakeholders to develop AI-enabled testing roadmaps, transformation plans, and business cases. - Lead the adoption of AI-powered test engineering solutions, autonomous testing capabilities, and intelligent quality platforms. - Advise delivery teams on integrating GenAI tools and frameworks into testing processes and operating models. - Collaborate with cross-functional teams to design, implement, and scale AI-driven testing solutions. - Track transformation outcomes, establish success metrics, and drive continuous improvement initiatives. - Serve as a trusted advisor to clients, providing thought leadership on emerging AI and testing trends. Job Requirements - Bachelor's Degree in Computer Science, Information Technology, Engineering, or a related field. - Minimum 12 years of experience in Quality Engineering, Software Testing, or Quality Assurance. - At least 5 years of experience leading AI, GenAI, or digital transformation initiatives. - Proven experience managing large-scale testing programs and enterprise transformation projects. - Strong consulting and stakeholder management experience, preferably with Fortune 500 organizations. - Hands-on knowledge of Azure OpenAI, Microsoft Copilot, AI Foundry, or similar GenAI platforms. - Strong understanding of modern testing practices, test automation, DevOps, Agile, and Quality Engineering frameworks. - Excellent communication, presentation, and business consulting skills. - Ability to influence senior stakeholders and drive adoption of innovative technologies across organizations. Preferred Qualifications - Experience with AI-powered quality engineering and autonomous testing solutions. - Relevant certifications in AI, Cloud Technologies, Agile, or Quality Engineering. - Thought leadership experience in testing transformation, GenAI adoption, or digital innovation.