We are looking for a
Senior Architect (m/f/d)
(unlimited, full-time) Join our team at our location in Berlin, Baden-Baden, Verl, Tallinn, Oslo or Stockholm - flexible working conditions available

As a Senior Architect in our Technology & Innovation department, you will architect Riverty's AI platform for the Software Development Lifecycle (SDLC). You will define how Large Language Models, knowledge graphs, and agentic systems interact within a secure, scalable, and high-performing ecosystem. Your work will provide the architectural foundation for Riverty's next generation of intelligent developer tools and automation capabilities.

Your key responsibilities:

• Architect Riverty's AI platform for the SDLC: Design scalable, modular AI architectures that integrate LLMs, agent runtimes, and orchestration layers.
• Drive agentic systems: Evaluate and implement frameworks such as the Model Context Protocol (MCP) and AI Gateway solutions for controllable, multi-agent interaction.
• Design intelligent data integration: Build semantic layers and knowledge graphs that provide rich context to AI components.
• Ensure scalability, reliability, and compliance: Establish architectural principles and governance for secure AI systems on Azure.
• Collaborate across teams: Partner with AI Engineers, Solution Architects, and Product Owners to turn AI concepts into enterprise-ready capabilities.
• Evaluate emerging technologies: Continuously assess LLM, agentic, and orchestration trends to inform platform evolution.
• Guide technical direction: Define standards, reference architectures, and best practices for sustainable AI development across Riverty.

Your profile:

• 12+ years of experience in software development, with strong hands-on engineering capabilities.
• 7+ years in software architecture roles, guiding and enabling teams in a hands-on capacity.
• 5+ years of experience in system design and distributed architectures.
• 3+ years of experience leading or running engineering teams.
• Proficiency in at least two programming languages, one of them being Java or C#, plus familiarity with scripting languages (e.g., Python, JavaScript).
• Strong understanding of GenAI and LLM-based architectures, agentic systems, and related frameworks or up-to-date research.
• Experience with cloud-native environments (preferably Azure), containerization, and DevOps practices.
• Familiarity with knowledge graph technologies, semantic data integration, and contextual retrieval patterns.
• Strategic mindset combined with hands-on technical leadership.
• Excellent communication skills and the ability to work effectively across technical and business domains.
• Fluent in English; German is a plus.