Job Description

Join our growing Roland Berger AI Lab as the technical backbone for designing secure, scalable (Gen)AI systems. In this dual role, you will support both our internal transformation and client projects, guiding consulting teams and their clients in building future-proof target architectures for generative AI, including AI agent applications.

You will translate business goals into Enterprise and Solution Architectures, derive Target Architectures from reference patterns, and guide delivery teams from PoV to production. You will own cross‑cutting concerns – identity, data, observability, reliability, cost – and lead design reviews, architecture decision records (ADRs), and guardrails.

Partnering with Backend, DevOps, AI Engineers, and Product core teams, you will ensure agentic/LLM components, services, and data flows form a coherent platform.

Qualifications

• Degree in Computer Science, Engineering, or equivalent exper...