Enterprise Architect

Experience in designing and implementing large-scale AI solutions, including data ingestion, storage, processing, and deployment.
Experience in developing AI-driven solutions and assets utilizing Retrieval-Augmented Generation (RAG) and Agentic frameworks.
Experience in using large language models programmatically or frameworks such as LangChain or LlamaIndex.
KPI Definition and Establishment: Define and establish key performance indicators (KPIs) to measure productivity and effectiveness of a diverse set of assets serving various domains and industries.
User Base Segmentation: Identify and segment heterogeneous user bases to enable effective A/B testing and targeted analysis.
Global Collaboration: Collaborate with global development, service line, and delivery teams across the world to drive unified efforts and achieve project goals.
Data-Driven Pricing Decisions: Drive pricing decisions based on outcomes from productivity measurements, ensuring competitive and value-driven pricing strategies.