Data & AI Strategy Enterprise AI Architect
Role details
Job location
Tech stack
Job description
Lead the architecture and evolution of enterprise Data & AI platforms in cloud environments (AWS, Azure, GCP).
-
Design scalable architectures enabling:
-
Advanced analytics and ML workloads
-
Real-time data processing
-
AI/ML model lifecycle management
-
API-driven AI services
-
Define reference architectures for AI-enabled digital platforms.
-
Design and govern data ecosystems including ingestion, storage, transformation, and serving layers.
-
Integrate containerized AI workloads using Kubernetes and microservices-based architectures.
-
Ensure security, compliance, and governance across AI and data platforms.
-
Align AI and data architecture with enterprise digital and business strategy.
-
Lead cross-functional teams across Data Engineering, ML Engineering, DevOps, and Security.
-
Support large transformation programs and AI-driven modernization initiatives.
-
Drive innovation in AI platform capabilities (automation, MLOps, AI governance frameworks)., Nunca debes compartir tus datos bancarios ni fotos de tus documentos al solicitar un empleo. Si tienes alguna duda sobre un proceso de selección En esta oferta serás redirigido a la pagina web de la empresa. Completa el formulario en su web.
-
Barcelona - España Ubicación
-
Arquitecto TIC Funciones
-
Jornada completa Jornada
-
Más de 5 años Experiencia
-
Indefinido Tipo contrato
-
Python SQL AWS Azure
Requirements
6+ years of experience in Data, Cloud, and AI architectures.
-
Proven experience leading large-scale Data & AI platform implementations.
-
Strong expertise in:
-
Cloud platforms (AWS / Azure)
-
Kubernetes and containerized environments
-
Microservices and API-first architectures
-
Enterprise data platforms and AI ecosystems
-
Experience designing AI-ready infrastructures supporting ML at scale.
-
Solid understanding of:
-
MLOps frameworks
-
Model lifecycle governance
-
Data architecture patterns (lakehouse, medallion, distributed systems)
-
Experience in regulated or complex industries (Pharma, Banking, Public Sector) is a plus.
-
Strong business alignment and executive stakeholder management.
-
Experience contributing to RFPs and strategic solutioning.
-
Fluency in English (required); international exposure is a plus.
The position is based in Barcelona or Madrid and follows a hybrid work model, with some days working from home and others in the office, where you can create interesting synergies with the rest of your team. It is essential to reside in Spain and have a work permit in Spain.
Technical Skills
- Programming: Python (mandatory), SQL.
- Cloud & AI Platforms: AWS, Azure, GCP
- Containerization: Kubernetes (K8s), Docker
- AI Ecosystems: ML platform architecture, MLOps, AI lifecycle governance
- Data Architecture: Lakehouse, distributed data processing, real-time pipelines
- APIs & Microservices: Scalable AI service exposure
- DevOps & Automation: CI/CD, infrastructure-as-code
- Security & Compliance: Enterprise-grade AI governance
Strategic & Leadership Skills
- AI & Data Strategy Definition
- Enterprise Architecture Alignment
- Global Program Leadership
- Stakeholder & Executive Communication
- Business Case & Value Realization
- Strategic thinking with hands-on technical depth
- Structured problem-solving in high-complexity environments
- Cross-functional and cross-cultural leadership
- Innovation mindset
#LI-EU