Arquitecto de Soluciones SAP + IA

About the role

We are seeking a senior SAP + AI Solution Architect to design, implement and evolve an integrated, secure and scalable technology ecosystem. The role combines enterprise architecture, SAP S/4HANA, Google Cloud Platform, data platforms and AI tools, and serves as a technical reference for SAP Functional, SAP Technical, AI & Data and Infrastructure teams.

Key responsibilities

• Define and maintain enterprise architecture that integrates SAP S/4HANA, GCP, AI tools and other business systems.
• Establish solution design standards, integration patterns and architecture principles.
• Design integration architecture using SAP BTP (Integration Suite, API Management, Event Mesh, AI Core).
• Lead development of the corporate Data Lake in Google BigQuery and implement the Google Cloud Cortex Framework with SAP templates.
• Define AI/ML architecture, including platforms, tools, MLOps processes and evaluation standards.
• Set standards for explainability, security and data‑privacy of production AI models.
• Design API‑based, messaging and event‑driven integrations between SAP, GCP and external systems.
• Chair the Technology Architecture Committee, resolve design conflicts and document decisions.
• Maintain the technology roadmap aligned with business strategy and present recommendations to the Executive Committee.
• Identify technical debt and create modernization plans.
• Collaborate with Cybersecurity to ensure compliance with security and IAM requirements.
• Engage with SAP and Google Cloud partners on architecture, roadmaps and technical support.

Required profile

• 10+ years of overall IT experience.
• 7+ years working with SAP in functional or technical roles.
• At least 3 years with SAP S/4HANA.
• 3+ years as a Solution Architect or Enterprise Architect.
• 3+ years with cloud platforms (GCP, AWS or Azure) on large‑scale data projects.
• 2+ years delivering AI/ML projects into production.

Required skills

• SAP S/4HANA technical architecture (in‑memory, Fiori, extensibility, SLT).
• SAP Business Technology Platform – Integration Suite, API Management, Event Mesh, AI Core.
• Google Cloud Platform services – BigQuery, Cloud Cortex Framework.
• Cloud data engineering and Data Lake design.
• AI/ML platforms, MLOps, model lifecycle management.
• API design, messaging and event‑driven integration patterns.
• Enterprise architecture principles and roadmap development.
• Security, IAM and compliance considerations.