AI Platform Lead: Multi-Agent Analytics & LLMOps

Sita - Société Internationale De Télécommunications; Barcelona; Híbrido; EUR 90.000 - 120.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flex Week: work from home up to 2 days

Flex Day

Flex-Location: up to 30 days/year rem

Descripción de la vacante

Sita - Société Internationale De Télécommunications is seeking a Senior Data Platform Engineer to design and scale intelligent data platforms enabling multi-agent AI collaboration for aviation operations. You will oversee LLM integration, symbolics, and data pipelines, balancing performance, cost, and governance.

You will mentor engineers, translate business problems into AI-driven solutions, and lead architecture decisions while delivering production-grade data platforms with robust

Formación

• 6+ years in data engineering and/or distributed systems with hands-on delivery of production platforms.
• Strong Python and SQL skills; experience with data models and observability.
• Experience with distributed data processing and streaming (e.g., Spark, Kafka) and cloud platforms (AWS, Azure, or GCP).
• Experience building LLM-based systems; familiarity with agent frameworks and RAG/vector databases.
• Strong mathematical foundation and ability to translate business problems into formal models.

Responsabilidades

• Design and scale intelligent data platforms enabling multi-agent AI collaboration.
• Lead engineering work, mentor teammates, translate business problems into AI-driven solutions.
• Build multi-agent architectures for planning, memory, tool usage and coordination.

Conocimientos

Python

SQL

Leadership

Problem solving

Collaboration

Herramientas

Spark

Kafka

NumPy/SciPy/SymPy

AWS

Azure

GCP

Descripción del empleo

Sita - Société Internationale De Télécommunications is seeking a Senior Data Platform Engineer to design and scale intelligent data platforms enabling multi-agent AI collaboration for aviation operations. You will oversee LLM integration, symbolics, and data pipelines, balancing performance, cost, and governance.

You will mentor engineers, translate business problems into AI-driven solutions, and lead architecture decisions while delivering production-grade data platforms with robust