AI Technology Strategy and Architecture Lead

Your role in the team

Our expectations of you

Qualifications

• A strong technical foundation, likely starting your career as a software engineer or hands-on technologist, with the ability to still engage deeply in technical discussions and design decisions.
• Proven ability to shape AI technology direction and architecture, not just design individual solutions - including setting principles, standards, and long-term roadmaps.
• Solid knowledge of at least one major cloud platform (AWS, Azure, or GCP), including AI services, security concepts, and operational considerations.
• Strong understanding of data architectures, APIs, integration patterns, and distributed systems, enabling AI solutions to integrate cleanly into complex enterprise landscapes.
• Ability to bridge strategy and execution - comfortable discussing vision and roadmaps with leadership while earning trust through technical depth.
• Clear and confident communication skills, with the ability to influence cross-functional teams and explain complex topics to both technical and non-technical audiences.
• A curious, pragmatic, and delivery-oriented mindset, with a strong sense of ownership; fluent English required, German is a plus.

Experience

• Extensive experience in technology or solution architecture roles, with several years focused on AI/ML systems in production environments.
• Hands-on experience with modern AI/ML technologies, such as LLM platforms, embeddings, vector databases, and MLOps practices, with a pragmatic understanding of their trade-offs.
• Experience working within enterprise architecture contexts, including use of architecture tooling (e.g., LeanIX, Ardoq), without losing delivery focus.