Experience working across the AI technology stack, including data engineering, model development, deployment pipelines, and integration with various public cloud environments (e.g., AWS, Azure, Google Cloud Platform), with a focus on scalable, secure, and maintainable AI architectures. Desired: Proven track record in managing cross-functional teams for AI product delivery, including collaboration between data scientists, software engineers, and business stakeholders to accelerate AI adoption and deliver measurable business impact.