Design and standardize enterprise AI-driven workflows and multi-agent ecosystems. Create playbooks, reference architectures, and platformised reusable components. Drive AI adoption across the CoE, lead innovation in agentic workflows, mentor teams, and translate customer and industry needs into scalable AI/ML products and process transformations.

Lead design, development, and deployment of scalable AI/ML applications and microservices on Kubernetes. Build end-to-end MLOps pipelines, mentor AI engineers, evaluate emerging LLM and GenAI tools, ensure observability and governance, and produce technical documentation and runbooks.