Ai Architect (Handson) (Principado De Asturias)

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

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)