AI Solution Architect (m/f/d)

Rohde & Schwarz GmbH & Co.; Dresden; Hybrid; EUR 90.000 - 120.000; Vollzeit

Zusammenfassung

Rohde & Schwarz GmbH & Co. is seeking an AI Systems Architect to design scalable, secure architectures for enterprise AI applications. You will craft end-to-end solutions that address model development, serving, data management, and lifecycle governance.

You will drive technical standards, API contracts, and best practices for integrating AI components across enterprise systems, while mentoring engineering teams to uphold quality and security across platforms.

Qualifikationen

• Define end-to-end architectures for AI systems meeting scalability, security, observability, and maintainability.
• Specify platform and infrastructure requirements for model development, serving, data management, and lifecycle management.
• Drive technical standards, API and contract definitions, and best practices for AI components integration.

Aufgaben

• Evaluate technologies for model runtimes, orchestration, storage, and infrastructure.
• Develop migration and compatibility strategies for architectures.
• Ensure compliance, security, and data governance are embedded in solution designs.
• Lead architecture reviews, advise engineering teams, and mentor them to ensure standards usage.

Kenntnisse

AI Architecture

MLOps

System Design

Security

Observability

Tools

Kubernetes

Docker

Cloud Platforms

Jobbeschreibung

Introduction

You design the architecture that tomorrow's AI systems will run on safely and at scale.

Tasks

• You define end-to-end architectures for AI systems as well as integration patterns and target architectures that meet functional and non-functional requirements such as scalability, security, observability, and maintainability.
• You specify platform and infrastructure requirements for model development, serving, data management, and lifecycle management, including MLOps, data platforms, feature stores, and model registries.
• You drive technical standards, API and contract definitions, as well as best practices for integrating AI components into enterprise systems.
• You evaluate and select technologies for model runtimes, orchestration, storage, and infrastructure, and develop migration and compatibility strategies.
• You ensure that compliance, security, and data governance requirements are firmly embedded in solution designs.
• You lead architecture reviews, advise engineering teams, and mentor them to ensure consistent implementation of standards.