Senior Knowledge Base AI Scientist — Graph & Retrieval

Grupo Santander; Boadilla del Monte; Presencial; EUR 90.000 - 125.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Learning platforms and SantanderOpen A

Competitive salary with performance‑dr

BeHealthy wellness program

Descripción de la vacante

Grupo Santander is seeking a Senior AI Scientist to lead local Knowledge Base projects, translating global standards into scalable, reliable representations and graph-based data for AI agents. You will collaborate with data, engineering, and product teams to connect structured and unstructured data, shaping schemas and retrieval pipelines for conversational systems.

The role emphasizes translating architectural guidance into practical local solutions while aligning with global standards and

Formación

• 5–10 years of experience in AI, data science, or ML systems in production.
• Experience designing scalable data pipelines and AI systems.
• Experience collaborating with engineering, product, and business teams.

Responsabilidades

• Design, develop, and maintain local Knowledge Base instances with connected structured/unstructured data.
• Shape graph schemas, entity resolution, metadata, and retrieval pipelines for AI agents and conversational systems.
• Ensure alignment with global standards while adapting to local regulatory, linguistic, and business constraints.
• Collaborate with data engineering and product teams to translate architecture into practical local solutions.
• Contribute to evaluation frameworks, monitoring, and continuous improvement of Knowledge Base components.

Conocimientos

Python

Knowledge representation

Graph modeling

Semantic data structures

Information retrieval

Collaboration

Scientific rigor

Ownership and accountability

Herramientas

Graph technologies

Data processing tools

Descripción del empleo

Grupo Santander is seeking a Senior AI Scientist to lead local Knowledge Base projects, translating global standards into scalable, reliable representations and graph-based data for AI agents. You will collaborate with data, engineering, and product teams to connect structured and unstructured data, shaping schemas and retrieval pipelines for conversational systems.

The role emphasizes translating architectural guidance into practical local solutions while aligning with global standards and