AI Architect — Scalable GenAI & Strategy Lead

Essity; Barcelona; Vor Ort; EUR 90.000 - 120.000; Vollzeit

Zusammenfassung

Essity is seeking an AI Architect to provide technical leadership for its AI initiatives. You will design fit-for-purpose platforms, translate business vision into scalable architecture, and ensure compliance with AI risk boundaries.

You'll collaborate with business leaders, data scientists, and AI engineers to deliver end-to-end AI solutions, pilot high-impact use cases, and continuously improve data and model governance across the organization.

Qualifikationen

• Bachelors or Masters degree in Computer Science, Engineering, or related field.
• 8+ years of experience in AI architecture or similar roles.
• Deep knowledge of machine learning models, Generative AI, data analytics, and statistics.
• Fluent in English; strong communication and collaboration skills.

Aufgaben

• Develop, implement, and maintain Essitys AI Technical Architecture strategy and roadmap.
• Translate business vision into technical implementation and design scalable architecture.
• Design and guide end-to-end AI solutions for everyday and complex use cases.
• Collaborate with business leaders, data scientists, and AI professionals to identify and pilot AI use cases.
• Align technical implementation with stakeholder requirements and future needs.
• Research and recommend technologies from open-source and commercial AI offerings.
• Conduct audits of data, models, and software engineering for AI risk management.

Kenntnisse

AI architecture

Generative AI

Data analytics

Machine learning

Ausbildung

Bachelor's or Master7s in Computer Science/Engineering

Jobbeschreibung

Essity is seeking an AI Architect to provide technical leadership for its AI initiatives. You will design fit-for-purpose platforms, translate business vision into scalable architecture, and ensure compliance with AI risk boundaries.

You'll collaborate with business leaders, data scientists, and AI engineers to deliver end-to-end AI solutions, pilot high-impact use cases, and continuously improve data and model governance across the organization.