Production AI Engineer: Data Foundations & Platforms

Agilent Technologies; Bellprat; Presencial; EUR 90.000 - 130.000; Jornada completa

Descripción de la vacante

Agilent Technologies is expanding its AI capabilities across scientific, service, commercial, and operational functions. The company seeks experienced engineers to design, deploy, and scale trusted AI solutions that deliver measurable business impact.

You will join cross-functional AI pods to transform business challenges into practical, production-ready solutions, with opportunities in AI engineering, data engineering, and related disciplines.

Formación

• 6+ years of relevant experience in software engineering, AI engineering, data engineering, machine learning, platform engineering, or related disciplines.
• Bachelor's or Master's degree, or equivalent practical experience.
• Experience building software, AI, platform, or data solutions in production environments.

Responsabilidades

• Build production AI applications, agents, and AI-enabled workflows.
• Design retrieval foundations for AI solutions, including RAG, vector search, semantic enrichment, and knowledge assets.
• Develop AI-ready data products with governance, quality, lineage, and reuse.
• Create reusable capabilities and patterns to accelerate future AI use cases across the enterprise with observability and governance.

Conocimientos

Software engineering

AI engineering

Data engineering

Platform engineering

R&D mindset

Educación

Bachelor's or Master's degree, or equivalent practical experience

Herramientas

Vector databases

Graph technologies

APIs

Cloud platforms

Descripción del empleo

Agilent Technologies is expanding its AI capabilities across scientific, service, commercial, and operational functions. The company seeks experienced engineers to design, deploy, and scale trusted AI solutions that deliver measurable business impact.

You will join cross-functional AI pods to transform business challenges into practical, production-ready solutions, with opportunities in AI engineering, data engineering, and related disciplines.