
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 – you will 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.
Do you have an entrepreneurial mindset with a winning personality? If so, we look forward to receiving your application (CV, high school diploma, certificates of all academic degrees, work certificates including internships, as well as proof of semesters abroad) via our online portal. If you have any questions, don't hesitate to contact me.

Roland Berger is a global leader in strategy consulting, renowned for its focus on transformation, innovation, and sustainability. Founded in 1967 and headquartered in Munich, we shape the future of businesses and industries globally.
Whether it’s digitalization, globalization, or sustainability, we see challenges as opportunities to drive impact. With innovative solutions, deep industry expertise, and agile international teams, we deliver measurable results and lasting change.
Our goal is clear: accelerate transformation, build resilient business models, and contribute to a CO2-neutral future – bold, collaborative, and impactful.
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