13 publicaciones de empleo destacadas en machine learning / mlops architect (¡Están contratando!)

Data & AI Strategy Enterprise AI Architect Manager/Senior Manager
Accenture —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- DevOps
- Inglés
11d
GCP Senior AI Engineer
BIP - Business Integration Partners —Madrid, Madrid provincia
- Jornada completa
- Español
- Informática
- Inglés
Director, Data Engineering (Capital Markets)
JLL —Madrid, Madrid provincia
- Azure
- Informática
- DevOps
5d
Principal AI Engineer - Evinova
AstraZeneca —Barcelona, Barcelona provincia
- Jornada completa
- Microsoft Excel
- Informática
- Oficina
7d
Senior AI Engineer – Consulting & Delivery Lead
Orange Business —Madrid, Madrid provincia
- Trabajo híbrido
- Español
- Azure
- DevOps
Senior AI Platform Backend Engineer (LLM)
EPAM Systems, Inc. —En remoto
- Teletrabajo
- DevOps
- Oficina
- Máster
- Vacaciones pagadas
- Programa de recomendación
Senior AI Backend Engineer
SIX Group AG —Madrid, Madrid provincia
- Teletrabajo
- Azure
- Informática
- DevOps
AI Senior Consultant
Kyndryl —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Doctorado
- Informática
14d
Senior Data Engineer - Applied AI
Adikteev —Barcelona, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- Inglés
- Java
- Máster
Solicitud rápida
Director of Data Science & AI
Glovo —Barcelona, Barcelona provincia
- Jornada completa
- Informática
- Máster
- SQL
Solicitud rápida
Advanced Specialist, Technical Architect
Pearson —España
- Jornada completa
- Teletrabajo
- Azure
- Inglés
- Máster
Sr. Machine Learning Engineer
Fortra, LLC —España
- Jornada completa
- Teletrabajo
- Doctorado
- Java
- Máster
AI Architect / Senior AI Engineer
Plain Concepts —España
- Jornada completa
- Teletrabajo
- Español
- Azure
- DevOps
- Seguro dental
- Abono gimnasio
Solicitud rápida

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Data & AI Strategy Enterprise AI Architect Manager/Senior Manager

Accenture -
Madrid, Madrid provincia

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Detalles del empleo

Jornada completa
Hace 11 días

Cualificaciones

CI/CD
Azure
DevOps
Inglés
Arquitectura empresarial
Arquitectura de microservicios
SQL
AWS
Docker
Machine learning
APIs
Escalabilidad
Cloud
Inteligencia artificial
Liderazgo
Python

Descripción completa del empleo

Are you ready to design and scale the Data & AI backbone of next-generation intelligent enterprises?

At Accenture, we are reinventing organizations through data, cloud, and artificial intelligence—helping clients unlock measurable value through scalable AI platforms and advanced data ecosystems.

We are looking for a Data & AI Platform Lead – Enterprise AI Architect to drive the architecture, implementation, and evolution of enterprise-grade AI and Data platforms. This role combines deep expertise in cloud-native architectures, AI enablement, and large-scale data ecosystems with strong strategic vision and stakeholder leadership.

You will be responsible for designing AI-ready platforms that support advanced analytics, machine learning, real-time processing, and intelligent applications at scale—ensuring performance, security, governance, and long-term scalability.

Key Responsibilities

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).

How does the ideal candidate look like:

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

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