Platform Engineer - AI Architecture, Gateway & MCP

Artificial Intelligence Backend Entwicklung Java Python TypeScript Top, * Design, develop, and operate core AI infrastructure components such as the AI Gateway, Model Router, Policy Layer, and MCP Server.

• Define architecture patterns for secure, scalable, and governed AI integration across all product domains.
• Build internal SDKs, libraries, and tools that enable engineering teams to integrate AI consistently.
• Contribute to technical governance through standards, lifecycle rules, design reviews, and architectural guidance.
• Partner with Enterprise Architecture and Security to ensure alignment and compliance with Riverty-wide guidelines.
• Improve performance, reliability, and cost efficiency of central AI services.
• Enable use case teams by providing frameworks, reusable components, and best practices for AI integration.
• Maintain clear documentation and contribute to a shared architectural knowledge base.

• Strong background in backend or platform engineering (Java, Python, or TypeScript).
• Experience building APIs, gateways, or distributed systems in cloud-native environments.
• Solid understanding of AI integration patterns (e.g., model APIs, routing, agent protocols).
• Ability to define and implement architectural standards and governance structures.
• Strong software design skills at senior or architect level.
• Focus on long-term maintainability, stability, and interoperability.
• Collaborative working style and clear communication in cross-functional environments.
• Fluent in written and spoken English.