Br /br /Join an agile cross-functional team to translate business needs into AI solution specifications, design and implement generative AI architectures with retrieval-augmented generation, develop Python-based ML components, orchestrate Azure AI/ML and prompt workflows, evaluate model outputs using key metrics, engineer prompts, process large datasets, and craft conversational interfaces.br /br /br / br /br /br / br /br /br /Key responsibilitiesbr /br /br /br /Design and architect end-to-end generative AI systems, including RAG implementationsbr /br /Develop Python modules for data science and Machine Learning use casesbr /br /Analyze and convert business and process requirements into detailed AI solution specificationsbr /br /Configure and manage Azure AI/ML services and orchestrate prompt flow pipelinesbr /br /Assess AI outputs using metrics such as accuracy and groundednessbr /br /Construct and refine prompts to optimize language model performancebr /br /Collaborate within an agile multidisciplinary squad and iterate via MVP deliveriesbr /br /Process and handle large datasets to support AI training and inferencebr /br /Design conversational interfaces for AI-driven applicationsbr /br /br /br / br /br /br /Qualificationsbr /br /br /br /5-7 years Python development in data science/ML contextsbr /br /5-7 years implementing RAG frameworksbr /br /2-4 years working with large language modelsbr /br /Hands-on with Azure AI/ML and prompt orchestrationbr /br /Experience in prompt engineeringbr /br /Experience processing large-scale datasetsbr /br /Skills in conversational UI designbr /br /Fluency in French and English or Dutch and Englishbr /br /Understanding of utilities sector dynamicsbr /br /br /br / br /br /Skills and competencesbr /br /br /AI solution architecturebr /br /Retrieval-Augmented Generation frameworksbr /br /Python for data science and MLbr /br /Azure AI/ML and prompt flowbr /br /Prompt engineeringbr /br /AI output evaluationbr /br /Large dataset managementbr /br /Conversational designbr /br /Agile collaborationbr /br /Utilities market knowledgebr /