Overview In this role you will design and implement scalable Generative AI architectures that bring production-ready AI capabilities to multiple industries. You collaborate with cross-functional teams to define end-to-end AI patterns, from data pipelines to model deployment and monitoring. You will lead LLM-based systems, apply prompt engineering, and ensure secure, observable, cost-efficient AI solutions. This is a hands-on, architecture-driven position with a focus on impact and practical delivery. Compensaciones / Incentivos * Wellbeing pack * Budget for training * Welcome pack * Free Udemy access * Birthday day off * Career plan Responsabilidades * Design scalable production AI architectures (Generative AI and ML) * Define end-to-end AI solution patterns from data ingestion to deployment and monitoring * Architect and implement LLM-based systems including RAG pipelines, agents, and orchestration frameworks * Define model lifecycle strategies (training, deployment, monitoring, retraining) * Design data and feature pipelines for AI/ML in cloud environments * Ensure AI solutions are secure, scalable, observable, and cost-efficient * Collaborate with Data, Software, and Cloud teams to integrate AI capabilities into platforms * Define standards for AI governance, evaluation,



and responsible AI usage * Evaluate new AI technologies for business use cases * Support prompt engineering strategies, evaluation frameworks, and AI experimentation * Act as technical reference for AI architecture decisions across projects Requisitos principales * Hands-on experience with generative models and AI agents in production * Proficiency with Transformers, CNNs, GANs * Expertise in prompt engineering (Chain-of-Thought, ReAct, Tree-of-Thought) * Mastery of TensorFlow, PyTorch or similar frameworks * NLP experience with embeddings, vector search, fine-tuning * Experience orchestrating LLMs and conversational agents (LangChain, LangGraph, DSPy, CrewAI, Google ADK) * LLM monitoring and evaluation using LangSmith, LangFuse or similar * Data management at scale (SQL, NoSQL, FAISS, Pinecone, Weaviate, ChromaDB) * Model optimization and deployment techniques (quantization, distillation, vLLM, Triton, ONNX Runtime) * Cloud and DevOps for AI (Azure, AWS, GCP, SageMaker, Vertex AI, Azure AI Foundry, Kubeflow, MLflow, Metaflow, BentoML) * API development for LLMs and pipelines (FastAPI, Flask, gRPC) * Advanced Python programming * Proactivity * Teamwork in diverse environments * Analytical thinking * Python (Advanced) * Generative AI Expertise (GPT, Claude, Mistral, Llama) * Core AI Frameworks (TensorFlow, PyTorch)

📌 AI Architect (Hands-on) (Sevilla)
🏢 Sngular
📍 Sevilla