Software Engineer - AI Solutions (m/f/d)

Rohde & Schwarz; Dresden; Hybrid; EUR 90,000 - 140,000; Full time

Job summary

Rohde & Schwarz is seeking an AI Integration Architect to design the architecture for AI in product software, focusing on scalability, security and reliability across cloud, edge and embedded targets.

You will implement central integration layers, APIs and SDKs in Python, optimize inference and middleware, and lead CI/CD/GitOps practices while coordinating with AI and engineering teams.

Qualifications

• Experience designing AI integration architectures for product software.
• Ability to design scalable, secure, and reliable AI features across cloud, edge and embedded targets.
• Experience coordinating with AI, MLOps and engineering teams to translate requirements into technical solutions.

Responsibilities

• Design architecture for AI integration into product software considering scalability, security and operations.
• Implement central integration layers, APIs and SDKs in Python.
• Optimize inference and middleware for cloud, edge and embedded systems.
• Diagnose production issues and manage monitoring, A/B testing and lifecycle of AI features.
• Contribute to testing standards, CI/CD/GitOps and release practices; review designs and code as technical reference.
• Coordinate with AI, MLOps and engineering teams to translate product requirements into technical solutions.

Skills

AI architecture

Python programming

CI/CD / GitOps

MLOps

Cloud/edge/embedded

Tools

Python

CI/CD

Job description

Introduction

You design the architecture for AI integration into our products and bring intelligent solutions from concept to global deployment.

Tasks

• You are responsible for the architecture for integrating AI into product software, taking scalability, security and operational requirements into account.
• You implement central integration layers, APIs and SDKs in Python.
• You optimize inference and middleware for cloud, edge and embedded target systems.
• You diagnose complex production issues and are responsible for monitoring, A/B testing and lifecycle management of productive AI features.
• You raise the standard in testing, CI/CD/GitOps and release practices, and review designs and code as a technical reference for junior engineers.
• You coordinate with AI, MLOps and engineering teams and translate product and project requirements into technical solutions.