Experteer Overview
Por favor, asegúrese de leer completamente el resumen y los requisitos de esta posibilidad de empleo que se detallan a continuación.
In this Principal AI Engineer role, you embed with business teams to identify automation opportunities and design AI-powered tools that boost internal productivity. You’ll prototype and deploy scalable AI solutions across functions, translating business problems into reliable systems. You’ll work globally with cross-functional stakeholders to ship production-ready tools that improve how the company operates, with a focus on adoption and measurable impact. This is an ambitious, fast-moving position that shapes enterprise AI capabilities and drives real-world transformation.
Compensaciones / Beneficios
• Embed with business teams to understand workflows, pain points, and automation opportunities
• Design and build AI-powered tools to improve internal productivity across finance, HR, operations, sales, and marketing
• Rapidly prototype using modern AI/ML technologies (LLMs, Copilots, automation pipelines)
• Deploy production-ready solutions with reliability, usability, and measurable impact
• Bridge technical and non-technical teams, translating problems into scalable engineering solutions




• Drive end-to-end delivery from discovery to rollout and adoption
• Create reusable frameworks/platforms to accelerate future AI deployments
• Operate globally with distributed teams to scale solutions across regions
Responsabilidades
• 7–10+ years of experience in software engineering, ML, or applied AI
• Strong experience designing and deploying production-grade systems in cloud environments
• Experience building and deploying AI/ML systems, ideally with LLMs or generative AI
• Experience in building/orchestrating/monitoring agentic/multi-agentic AI workflows
• Ability to xqbhyrx work across the stack (APIs, data pipelines, front-end interfaces)
• Deep understanding of system design, distributed systems, and scalable architectures
• Solid system design skills with focus on scalability, reliability, and security
• Knowledge of data engineering and analytics workflows
• Experience working in global, cross-functional teams
• Familiarity with governance, security, and compliance for enterprise AI
Requisitos principales
• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee-Assistance-Program (EAP)

📌 AI Principal Engineer (Barcelona)
🏢 NielsenIQ
📍 Barcelona