Artificial Intelligence Architect

ADEREN; Madrid; Presencial; EUR 60.000 - 100.000; Jornada completa

Descripción de la vacante

Una empresa innovadora busca un Arquitecto de Inteligencia Artificial con experiencia en IA tradicional y generativa. Esta emocionante posición implica diseñar e implementar soluciones escalables y eficientes, liderar equipos multidisciplinarios y garantizar el cumplimiento normativo. El candidato ideal tendrá más de 5 años de experiencia en arquitectura de soluciones de IA y un sólido conocimiento de herramientas como TensorFlow y PyTorch. Ofrecemos un entorno dinámico con oportunidades de formación continua y la posibilidad de trabajar de forma remota o híbrida. Si tienes pasión por la IA y deseas marcar la diferencia, esta es la oportunidad perfecta para ti.

Servicios

Oportunidad de trabajar en proyectos innovadores

Plan de formación continua en tecnologías emergentes

Trabajo remoto o híbrido con horarios flexibles

Entorno dinámico con equipos técnicos de alto nivel

Formación

• Más de 5 años de experiencia en arquitectura de soluciones de IA, incluyendo IA generativa.
• Conocimientos avanzados de marcos de IA como TensorFlow y PyTorch.

Responsabilidades

• Diseñar arquitecturas para soluciones de IA que integren modelos tradicionales y generativos.
• Definir estrategias de implementación de IA en entornos empresariales.

Conocimientos

Arquitectura de soluciones de IA

Aprendizaje automático

Aprendizaje profundo

IA generativa

Liderazgo técnico

Cumplimiento normativo

Educación

Grado en Informática

Ingeniería de Sistemas

Matemáticas

Herramientas

TensorFlow

PyTorch

Scikit-learn

Hugging Face

LangChain

Pandas

Spark

SQL

NoSQL

AWS

GCP

Azure

Descripción del empleo

Role : Artificial Intelligence Architect

Experience Level : Senior (5+ years of experience in AI and systems architecture)

Job Description :

We are looking for an Artificial Intelligence (AI) Architect with experience in both traditional AI and generative AI to design and lead the implementation of scalable, robust, and efficient solutions. He will be responsible for defining the architecture of solutions based on machine learning, deep learning, and generative AI, ensuring their alignment with business needs and industry best practices.

Responsibilities :

• Design architectures for AI solutions that integrate traditional (Machine Learning, Deep Learning) and generative (LLMs, Diffusion Models, GANs) models.
• Define AI implementation strategies in business environments, ensuring scalability, efficiency, and regulatory compliance.
• Select and evaluate technologies, frameworks, and tools to optimize the development and deployment of AI models.
• Integrate AI solutions with cloud architectures using hyperscale services (AWS, GCP, Azure).
• Monitor the full lifecycle of AI models, from experimentation to production with MLOps, AIOps, or GenAIOps practices
• Ensure data governance, including quality, security, and regulatory compliance (GDPR, HIPAA, etc.).
• Lead multidisciplinary teams in the development of AI-based solutions.
• Continuously evaluate new AI technologies and their applicability in the business.
• Optimize cloud AI infrastructure costs, ensuring a balance between performance and budget.
• Establish best practices in the development, implementation, and monitoring of AI models.

Requirements :

• Degree in Computer Science, Systems Engineering, Mathematics, or a related field.
• More than 5 years of experience in AI solution architecture, including generative AI.
• Advanced knowledge of AI frameworks such as TensorFlow, PyTorch, Scikit-learn, Hugging Face, and LangChain.
• Experience in generative AI, including LLMs (GPT, LLaMA, Claude) and diffusion models (Stable Diffusion, DALL
• Proficiency in data processing with tools such as Pandas, Spark, and SQL / NoSQL databases.
• Knowledge in vector databases and Generation Augmented Retrieval (RAG) systems.
• Experience in developing AI APIs for internal and external consumption.
• Familiarity with production model optimization techniques (quantization, pruning, distillation).
• Technical leadership skills and communication with stakeholders from different areas.
• Experience in hybrid architectures (Edge AI, on-premise + cloud).
• Certifications in AWS, Azure or GCP in Machine Learning / AI.
• AI publications or contributions to the open-source community.

Proceeds :

• Opportunity to work on innovative AI projects across multiple sectors.
• Continuous training plan in emerging technologies.
• Remote or hybrid work with flexible schedules.
• Dynamic environment with high-level technical teams.