AI Architect

What success looks like in this role: The key responsibilities of an Architect position can vary depending on the specific industry, organization, and project requirements. However, some common responsibilities typically associated with an Architect role include: 1. Architecting Data Solutions : Designing and architecting end-to-end data science solutions that meet business objectives. This involves understanding the business requirements, data infrastructure, and available technologies to create scalable and efficient data architectures. Agentic AI, AI Agent, Azure Foundry, AWS, Cloud 2. Data Modeling and Analysis : Developing data models and algorithms to analyze complex datasets, extract insights, and make data-driven decisions. This may involve machine learning, statistical analysis, a