Production AI & Data Foundations Engineer

Agilent Technologies; Madrid; Presencial; EUR 70.000 - 100.000; Jornada completa

Descripción de la vacante

Agilent Technologies is expanding its AI capabilities across scientific, service, commercial, and operational functions. We are building a team of engineers to design, deploy, and scale trusted AI solutions that create measurable business impact.

Join cross-functional AI pods to turn complex challenges into production-ready outcomes. Opportunities may focus on AI applications, agentic workflows, retrieval foundations, and AI-ready data products, with collaboration across domain experts and

Formación

• Technical expertise: production-grade software/AI/data solutions with solid engineering foundations.
• Strong collaboration with business stakeholders and domain experts.
• Commitment to quality, reliability, and reusability.

Responsabilidades

• Build production AI applications, agents, and AI-enabled workflows.
• Design retrieval foundations for AI solutions (RAG, vector search, semantic enrichment).
• Develop AI-ready data products with governance, lineage, and reuse.
• Create reusable capabilities and patterns to accelerate future AI use cases.
• Apply evaluation, monitoring, observability, and governance practices for reliable AI outcomes.
• Partner with domain experts to translate business needs into scalable solutions.
• Leverage metadata generation and content classification to improve data quality.

Conocimientos

AI Engineering

Data Engineering

LLM application

Agentic Workflows

Retrieval Foundations

Cloud Platforms

Distributed Systems

APIs

Educación

Bachelor's degree or higher

Herramientas

Vector databases

Graph technologies

Data governance tools

Retrieval systems

Descripción del empleo

Agilent Technologies is expanding its AI capabilities across scientific, service, commercial, and operational functions. We are building a team of engineers to design, deploy, and scale trusted AI solutions that create measurable business impact.

Join cross-functional AI pods to turn complex challenges into production-ready outcomes. Opportunities may focus on AI applications, agentic workflows, retrieval foundations, and AI-ready data products, with collaboration across domain experts and