Minimum Relevant Experience Required - 15 to 19 Years
Job Purpose
This role sits at the center of our transformation journey. We are seeking a bold, innovative technology leader with strong engineering depth and a passion for building cloud-native, AI-driven ecosystems. You will help architect and execute our future technology landscape - one where AI augments every team and every stage of delivery, automation becomes the default, engineering is executed with precision, quality, and modern craftsmanship, & Cloud and data capabilities fuel analytics, intelligence, and business insights.
Role & Responsibilities
- Champion an AI‑first culture, inspiring teams to think creatively about how AI accelerates development, optimizes business processes, and generates measurable value.
- Elevate engineering standards, embedding scalable architecture patterns, automated controls, and continuous delivery practices.
- Drive automation at scale, enabling intelligent tooling, self-service platforms, and reusable engineering capabilities across CE.
- Shape a modern cloud & data ecosystem, enabling seamless integration, governed data flows, and analytics capabilities that empower business decision-making.
- Simplify and modernize the landscape, driving standardization, reuse, and efficiency to enable faster, smarter delivery.
As a change agent, you will spark innovation, drive cultural evolution, and inspire teams through thought leadership and hands-on guidance. You will bring the latest industry trends and translate them into practical, scalable solutions that transform how we deliver technology and business value.
Required Skills
- Proven experience in building AI solutions across the full SDLC, including solution design, development, model training, deployment, and operationalization of enterprise‑grade AI platforms and models.
- Understands defining operating model for an AI project after go-live into production
- Establish modern engineering standards, reusable architecture patterns, frameworks, and libraries, with a strong focus on quality engineering, test automation, resilient design, and continuous improvement across delivery teams.
- Lead the implementation of modern DevSecOps practices, including CI/CD pipelines, automated testing, observability, release automation, and strong code‑quality controls, supported by proficiency in languages such as Python, Java, or Go.
- Experience in building cloud platforms and leverage engineering for efficiency and enhanced quality of the platform
- Thought leadership in engineering, cloud, and AI trends, combined with hands‑on experience modernizing technology landscapes and building scalable platforms
- Coach and grow engineering teams, foster a collaborative and high‑performance culture, and lead change through hands‑on guidance, thought leadership, and continuous improvement.
- Knowledge of platform vs project based implementation approaches
