• Develop and execute the vision, strategy, and roadmap for AI-driven initiatives, aligning with business objectives. • Analyze market and competitive landscapes to identify AI product opportunities and investment areas. • Translate complex AI capabilities and research into user-friendly and valuable solutions. • Drive Product Management to define requirements, prioritize features, and measure performance indicators. • Foster a culture of innovation, ownership, engineering excellence, and continuous improvement. • Guide architectural decisions for AI/ML solutions ensuring scalability, reliability, and security. • Drive technical design and development of AI/ML solutions leveraging technologies like LLMs, NLP, generative AI. • Ensure implementation of CI/CD and modern engineering practices; optimize development lifecycles and mitigate technical risks. • Embed ethical AI practices addressing data privacy, bias, and transparency throughout development. • Communicate technical concepts and project updates to technical and non-technical audiences, including senior leadership. • Act as a technical authority in customer engagements to ensure solutions deliver tangible business impact.