Logo for Grupo TECDATA Engineering

Artificial Intelligence Architect

Grupo TECDATA Engineering

Key Facts

Remote From: 
Anywhere
Full time
Spanish

Hard Skills

Generative Artificial Intelligence Machine Learning MLOps (Machine Learning Operations) Kubernetes System Optimization NoSQL Kubeflow AWS Cost Management Stable Diffusion AIOps (Artificial Intelligence For IT Operations) Pandas (Python Package) Data Security AWS Cloud Services Hugging Face (NLP Framework) SQL (Programming Language) gRPC Deep Learning Docker (Software) AWS Bedrock Data Governance MLflow Microsoft Azure Cloud Computing Vector Data Azure OpenAI Scikit-Learn (Python Package) Data Quality Cloud Computing Apache Spark PyTorch (Machine Learning Library) Azure Machine Learning Diffusion Process AWS SageMaker GPT-3 (NLP Model) TensorFlow Quantization Cloud Computing Open Source Development Academic Writing Cloud-Native Applications Cross-Functional Collaboration Technical Leadership Business Strategies

Roles & Responsibilities

  • 6+ years of experience in AI architecture
  • Experience with Generative AI
  • Cloud experience (AWS, Azure, or GCP)
  • Knowledge of MLOps and development of AI APIs

Requirements:

  • Design AI architectures across ML, DL, and Generative AI (LLMs, GANs, diffusion) and define scalable deployment strategies
  • Lead technology and framework selection; implement cloud integrations (AWS, Azure, GCP)
  • Manage model lifecycle and governance (MLOps/AIOps/GenAIOps) with data quality, security, and GDPR compliance
  • Provide technical leadership to multidisciplinary teams and drive cost optimization and best practices

Job description

Responsabilidades principales

  • Diseño de arquitecturas de IA:

    • Machine Learning

    • Deep Learning

    • IA Generativa (LLMs, GANs, Diffusion Models)

  • Definición de estrategias de implementación en negocio

  • Selección de tecnologías y frameworks

  • Integración con cloud:

    • AWS / Azure / GCP

  • Gestión del ciclo de vida de modelos:

    • MLOps / AIOps / GenAIOps

  • Gobierno del dato:

    • Calidad

    • Seguridad

    • Regulación (GDPR, etc.)

  • Liderazgo técnico de equipos multidisciplinares

  • Optimización de costes en infra cloud

  • Definición de buenas prácticas

⚙️ Stack tecnológico

IA / ML

  • TensorFlow

  • PyTorch

  • Scikit-learn

  • Hugging Face

  • LangChain

IA Generativa

  • LLMs:

    • GPT

    • LLaMA

    • Claude

  • Diffusion:

    • Stable Diffusion

    • DALL·E

  • RAG (Retrieval-Augmented Generation)

  • Bases de datos vectoriales

Data

  • Pandas

  • Spark

  • SQL / NoSQL

Cloud

  • AWS (SageMaker, Bedrock…)

  • Azure (Azure ML, OpenAI…)

  • GCP (Vertex AI…)

DevOps / MLOps

  • MLflow

  • Kubeflow

  • Docker

  • Kubernetes

🧠 Requisitos

  • ✔️ +6 años en IA (arquitectura)

  • ✔️ Experiencia en IA generativa

  • ✔️ Experiencia en cloud (AWS/Azure/GCP)

  • ✔️ Conocimiento de MLOps

  • ✔️ Desarrollo de APIs de IA

  • ✔️ Optimización de modelos (quantization, pruning…)

  • ✔️ Liderazgo técnico

⭐ Valorable

  • Arquitecturas híbridas (Edge + Cloud)

  • Certificaciones cloud

  • Contribuciones open source / publicaciones
Ready to apply?
APPLY
·

Related jobs

Worldwide

Other jobs at Grupo TECDATA Engineering

We help you get seen. Not ignored.

We help you get seen faster — by the right people.

🚀

Auto-Apply

We apply for you — automatically and instantly.

Save time, skip forms, and stay on top of every opportunity. Because you can't get seen if you're not in the race.

✨

AI Match Feedback

Know your real match before you apply.

Get a detailed AI assessment of your profile against each job posting. Because getting seen starts with passing the filters.

Upgrade to Premium. Apply smarter and get noticed.

Upgrade to Premium

Join thousands of professionals who got noticed and hired faster.