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# Ai Architect (Handson) (Principado De Asturias)

- **Company:** Agencia Principado
- **Location:** Asturias, Spain
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Software Code Optimization, DevOps, Python (Programming Language), Language Modeling, NoSQL, Tensorflow, Sage Accounting, Search Technologies, SQL Databases, Pinecone, Google Cloud, Data Ingestion, Pytorch, ReactJS, Retrieval-Augmented Generation, Flask (Web Framework), Large Language Models, Prompt Engineering, IT Architecture, Generative AI, Agentic-AI, Fastapi, Discretization, AI Platforms, Kubernetes, ONNX (Open Neural Network Exchange) Format, CrewAI, Weaviate, Data Management, Machine Learning Operations, FAISS, Claude, Api Design, VLLM, Grpc, GPT, Data Pipelines, ChromaDB
- **Published:** October 17, 2026
- **Apply:** https://www.buscojobs.com.es/ai-architect-handson-principado-de-asturias-en-asturias-ID-375486226

## About the Role

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 Tensor Flow, PyTorch or similar frameworks
 - NLP experience with embeddings, vector search, fine-tuning
 - Experience orchestrating LLMs and conversational agents (Lang Chain, Lang Graph, DSPy, CrewAI, Google ADK)
 - LLM monitoring and evaluation using Lang Smith, Lang Fuse 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 Dev Ops for AI (Azure, AWS, GCP, Sage Maker, 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 (Tensor Flow, PyTorch)

## Description

OverviewIn 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 planResponsabilidades- 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 projectsRequisitos 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 Tensor Flow, PyTorch or similar frameworks- NLP experience with embeddings, vector search, fine-tuning- Experience orchestrating LLMs and conversational agents (Lang Chain, Lang Graph, DSPy, CrewAI, Google ADK)- LLM monitoring and evaluation using Lang Smith, Lang Fuse 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 Dev Ops for AI (Azure, AWS, GCP, Sage Maker, 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 (Tensor Flow, PyTorch)? AI Architect (Hands-on) (Principado de Asturias)? Sngular? Principado de Asturias