10+ years of experience in designing and delivering enterprise-grade AI platforms and intelligent systems, from experimentation to large-scale production. Holds a Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field, Combines deep AI expertise with strong leadership and client-facing capabilities to translate business objectives into scalable, secure, and trustworthy AI solutions, leveraging data platforms as a foundational enabler.

Technical Skills • Design of end-to-end AI architectures supporting machine learning, generative AI, and real-time intelligent applications. • Strong expertise in AI/ML frameworks and platforms, covering model training, validation, deployment, and lifecycle management. • Advanced mastery of cloud-native AI services across AWS, Azure, and GCP, including hybrid and multi-cloud environments. • Proven experience in building production-ready AI pipelines, integrating data ingestion, feature engineering, model training, and inference. • Solid understanding of data as an AI enabler, including feature stores, data quality requirements, and model–data dependencies. • Strong command of AI governance, security-by-design, explainability, and regulatory compliance, ensuring responsible and auditable AI systems. • Experience operating AI solutions at scale, including model monitoring, performance drift detection, and continuous improvement.

Managerial & Client-Facing Skills • Strong managerial and leadership skills, with the ability to guide technical teams and drive architectural decisions. • Excellent client-facing capabilities, including: o Strong ability to translate business needs into scalable data architectures. o Ability to clearly articulate complex technical concepts to non-technical and executive audiences. o Confidence in leading architecture workshops, design authorities, and steering committees. • Strong stakeholder management and communication skills in multi-disciplinary and multi-cultural environments.