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.

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Health, life, and accident insurance
Flexible compensation and stock purchase plans
Flexible schedules and vacation policies
Personalized training paths
Sustainability programs
Diversity networks
Design and deploy end-to-end AI solutions using LLMs, LangChain/LangGraph, and cloud-native tools
Develop and manage RAG pipelines: ingestion, chunking, embeddings, vector storage, retrieval, and generation




Integrate foundational models from platforms like Amazon Bedrock and OpenAI
Collaborate with cross-functional teams to define architecture and productionize AI models
Monitor and optimize performance of deployed models and pipelines
3+ years of hands-on AI experience
Experience with LangChain or LangGraph for GenAI orchestration
Deep understanding of LLM fundamentals: Transformers, attention, xcskxlj embeddings, tokenization
Proficiency in at least one cloud platform (AWS, Azure, or GCP)
Experience with Azure AI Studio or Amazon Bedrock
Strong experience with RAG pipelines and OpenAI APIs
Familiarity with ML libraries: scikit-learn, Pandas, Numpy
Excellent communication skills in English (B2/C1)
clear communication
cross-functional collaboration
problem-solving mindset
LangChain
LangGraph

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📌 Senior Genai Engineer – Llms & Rag - Málaga
🏢 Accenture
📍 Málaga