Key Responsibilities Support the Enterprise Architecture team in exploring emerging AI technologies, including Generative AI, AI Agents, RAG, and LLM applications. Conduct technical research, feasibility assessments, and proof-of-concept development. Assist in designing scalable AI solutions and preparing architecture diagrams and technical documentation. Evaluate how AI capabilities can be integrated into enterprise platforms and business scenarios. Requirements Undergraduate or postgraduate student in Computer Science, Software Engineering, AI, or a related field. Understanding of enterprise platform architecture, including high availability, high concurrency, scalability, distributed systems, and microservices. Hands-on experience with Python and common AI frameworks or APIs. Strong analytical, research, documentation, and communication skills. Experience with Azure, Kubernetes, RAG, or AI Agents is a plus.