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Confirmed on the employer's own hiring board on Oct 30, 2026. First seen by Alion on Oct 26, 2026. Q-Tech scores C on the Alion truth index.

Overview
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Q-Tech is a specialized IT recruitment and talent selection firm focused on sourcing high-caliber engineering and technical professionals for technology-driven enterprises. Headquartered in Barcelona, Spain, the company utilizes a tailored, quality-first headhunting methodology to connect businesses with top-tier software and systems talent. Founded in 1999, it has grown into a trusted partner for organizations seeking specialized technical staffing solutions across diverse sectors.

Desde Q-tech buscamos un AI Security CoE Lead para un cliente del sector financiero: la gestora de activos de uno de los mayores bancos europeos, con más de un billón de euros bajo gestión y un hub de tecnología en construcción en Madrid.

La compañía crea desde cero su Centro de Excelencia de Seguridad de IA. El negocio está adoptando IA generativa y agentes a una velocidad que el modelo actual de revisión manual no absorbe, y el objetivo es sustituirlo por controles automatizados e integrados en el ciclo de desarrollo. Es una posición fundacional, con reporte al Head of Cybersecurity del CSO.

Responsabilidades

  • Definir la estrategia de seguridad de IA, el modelo operativo, el roadmap, el gobierno y el catálogo de servicios.

  • Liderar la habilitación segura de la IA con negocio, tecnología, riesgo, cumplimiento y auditoría.

  • Establecer los estándares, controles y métricas de seguridad de IA.

  • Coordinar las capacidades de arquitectura, red teaming, ingeniería, protección de datos y aseguramiento.

  • Construir el equipo y gestionar consultores especialistas y proveedores.

Requisitos

  • Diez años o más en ciberseguridad -ingeniería, arquitectura, gestión de vulnerabilidades, seguridad de aplicaciones y cloud o riesgo tecnológico- con aplicación reciente a seguridad de IA y GenAI.

  • Haber construido o dirigido capacidades de gestión de vulnerabilidades y amenazas: priorización por riesgo, gobierno de la remediación, métricas y reporte a dirección.

  • Conocimiento práctico de riesgos de IA: LLM, RAG, agentes, modelo y API, datos y cadena de suministro.

  • Implantación de controles de seguridad en pipelines de CI/CD.

  • Liderazgo y entrega en entornos regulados complejos. Se valorará especialmente el sector bancario o financiero.

  • Inglés profesional: el proceso y la función son internacionales.

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