Azure AI/GenAI Architect (d/f/m)

Henkel AG & Co. KGaA; Düsseldorf; Vor Ort; EUR 80.000 - 100.000; Vollzeit

Zusammenfassung

A leading international company in Düsseldorf is seeking an Azure AI Solution Architect to shape and lead the architecture of GenAI and automation solutions. The ideal candidate will design robust cloud-native architectures and drive best practices across various components focusing on security and scalability. Responsibilities include translating business requirements, supporting deployment workflows, and ensuring operational readiness. Join a collaborative team that values innovation and technical excellence.

Aufgaben

• Design and own cloud architectures for GenAI platforms and automation solutions on Azure.
• Translate business requirements into scalable technical blueprints and implementation guidelines.
• Work closely with developers and product teams to align solution components end-to-end.
• Drive Azure best practices across security, monitoring, and API integrations.
• Support CI/CD workflows and ensure consistent deployment patterns.
• Help shape stable platform environments through thoughtful resource planning.
• Ensure governance and operational readiness across solutions.
• Act as a trusted technical advisor for the GenAI engineering team.

Jobbeschreibung

About this Position

As an Azure AI Solution Architect, you will be the strategic technical lead shaping the end-to-end architecture of our GenAI and automation solutions. You shape robust, cloud-native architectures, challenge design decisions, and ensure that our systems remain scalable, secure, and well-structured. In addition, you help create reliable delivery environments, support seamless deployment workflows, and contribute to a stable operational foundation.

• Design and own cloud architectures for GenAI platforms, intelligent agents, and automation solutions on Azure
• Translate business requirements into scalable technical blueprints, reference architectures, and implementation guidelines
• Work closely with developers, AI engineers, and product teams to align solution components end-to-end
• Drive Azure best practices across identity, networking, security, monitoring, and API integrations
• Contribute to smooth delivery by supporting CI/CD workflows, reviewing IaC implementation, and ensuring consistent deployment patterns
• Help shape stable and well-structured platform environments through thoughtful resource planning, environment setup support, and ongoing architecture-assisted optimization
• Ensure governance, documentation, and operational readiness across solutions
• Act as a sparring partner and trusted technical advisor for the GenAI engineering team