

You support the AI CoE in developing, testing, and deploying AI-based automation solutions and workflows for client and internal use cases. You contribute to building prototypes and proofs of concept (PoCs) using Python, LLM frameworks (e.g. LangChain), and automation tools (e.g. Make, n8n, Flowise). You assist with prompt engineering, API integrations, data handling, and automated reporting pipelines. You collaborate with consultants and data engineers to operationalize AI use cases and streamline knowledge across the organization. You document architectures, key decisions, and results, preparing concise demos and presentations that clearly communicate impact. You bring a hands-on, experimental mindset, eager to test ideas and iterate fast from concept to working prototype.