Across the energy and climate community, practitioners are rapidly deploying internal AI assistants, automating modelling and workflows, and embedding AI into daily work. * Collaborate closely with leadership, , , external , and to integrate AI and technology into workflows, analysis, modelling, and communication processes and products; * Strong command of AI systems/concepts like Prompt Engineering, Retrieval-Augmented-Generation (RAG), agentic workflows, Model Context Protocol (MCP), etc.;
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