As part of our new AI Foundation team, you will share responsibility for our company-wide GenAI, agent, and data platform.
You will connect AI, data, eventing and autonomous agents into a scalable, orchestrated end-to-end architecture.
Your aim: systems in which agents not only act intelligently, but are controllable, resilient, securely embedded and production-ready — from copilots to autonomous multi-agent workflows.
You will define the target architecture for our GenAI and agent platform, develop scalable structures and establish binding architectural principles for AI, data and eventing.
As the owner of the AI and Data Foundation, you will design MCP servers as a controlled execution layer, orchestrate planner, executor and validator patterns, and implement guardrails and observability concepts.
By building a modular Data Foundation and clearly defined data products, you will anchor API-first and domain-oriented models, integrate structured and unstructured data into RAG-capable architectures and ensure quality and governance.
You will develop a scalable eventing framework, define event contracts and schema governance, and integrate agents into event-driven workflows with a focus on idempotence and resilience.
Through technical leadership, mentoring and clear standards, you will steer technology decisions, evaluate new frameworks and define the roadmap for our AI and data platform in close collaboration with security, cloud and business teams.
Requirements
Degree in computer science or an equivalent qualification with a strong focus on architecture and platforms
Several years of experience in software development and architecture, proven track record building scalable platforms and working with microservices and event-driven architectures
Strong Python skills, experience with Java and/or TypeScript, solid cloud expertise in AWS, experience with LLM integration, agent frameworks, data products, multi-tenant and IAM architectures, and event streaming technologies
Strategic thinking, strong technical ownership, ability to assert architectural decisions and enjoyment of mentoring and cross-functional collaboration
Excellent German skills and good English skills for communication in an international environment.
Tech Stack
AWS
Cloud
Java
Microservices
Python
TypeScript
Benefits
Flexible working models, home office, workation, time‑credit account (e.g. for a sabbatical)
Support for personal and professional development, international career opportunities, cross-group career paths, a diverse range of training, and development reviews
Open communication, informal culture, team spirit, respect, appreciation, and joint team and company events
Onboarding program, employee assistance service (EAP), bike leasing (JobRad), employee offers and discounts, and company pension plan