In this role you will design and deploy scalable GenAI solutions and manage end-to-end RAG pipelines in production. You will work within the Data & AI team to translate client needs into robust AI architectures using cloud-native tools. You’ll integrate foundational models from providers like OpenAI and Bedrock, collaborating with cross-functional teams to operationalize models at scale. This position offers hybrid work across Spain with opportunities to influence AI strategy and delivery in client engagements.Health, life, and accident insuranceFlexible compensation and stock purchase plansFlexible schedules and vacation policiesPersonalized training pathsSustainability programsDiversity networksDesign and deploy end-to-end AI solutions using LLMs, LangChain/LangGraph, and cloud-native toolsDevelop and manage RAG pipelines: ingestion, chunking, embeddings, vector storage, retrieval,



and generationIntegrate foundational models from platforms like Amazon Bedrock and OpenAICollaborate with cross-functional teams to define architecture and productionize AI modelsMonitor and optimize performance of deployed models and pipelines3+ years of hands-on AI experienceExperience with LangChain or LangGraph for GenAI orchestrationDeep understanding of LLM fundamentals: Transformers, attention, embeddings, tokenizationProficiency in at least one cloud platform (AWS, Azure, or GCP)Experience with Azure AI Studio or Amazon BedrockStrong experience with RAG pipelines and OpenAI APIsFamiliarity with ML libraries: scikit-learn, Pandas, NumpyExcellent communication skills in English (B2/C1)clear communicationcross-functional collaborationproblem-solving mindsetLangChainLangGraph
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📌 Senior Genai Engineer – Llms & Rag - Málaga
🏢 Accenture
📍 Málaga