Roland Berger
Roland Berger is a global strategy and management consultancy that advises corporate and public‑sector clients on transformation, performance improvement, and growth. The partnership, founded in 1967 and headquartered in Munich, sells fee-based consulting services across strategy, operations, restructuring, corporate finance, and data/AI topics. It operates worldwide and includes specialist units such as Polarixpartner for manufacturing cost and engineering challenges.
Open Positions at Roland Berger
9 open positions
Join Roland Berger’s AI Lab as a DevOps Engineer building and operating secure, scalable cloud infrastructure for AI and GenAI applications. You will automate cloud platforms, productionize LLM services, and drive reliability from proof of concept through scaled rollout.
Build and operate secure, scalable cloud infrastructure for Roland Berger’s AI and GenAI solutions across Azure, AWS, and GCP. The role focuses on platform automation, Kubernetes operations, observability, reliability, and productionizing LLM and machine-learning workloads.
Join Roland Berger’s AI Lab to design and implement scalable generative AI solutions for clients and internal teams. You will build multimodal agents, automate workflows, and help deploy AI models across major cloud platforms.
Serve as the technical backbone of Roland Berger’s AI Lab, shaping secure, scalable enterprise and solution architectures for generative AI and agentic systems. You will guide internal transformation and client engagements from proof of value through production.
Forward Deployed Engineer building and delivering secure GenAI solutions for clients, from ideation workshops through production deployments. The role combines Python engineering, agentic workflows, model fine-tuning, evaluations, MCP integrations, and multi-cloud delivery.
Build reliable, secure full-stack systems for agentic and LLM-enabled applications at Roland Berger AI Lab. This hands-on role spans Python backends, modern frontends, integrations, evaluation workflows, and scalable cloud deployment.
Join Roland Berger’s AI Lab to design and implement scalable generative AI solutions for clients and internal applications. You will build multimodal agents, automate workflows, and establish cloud infrastructure for deploying AI models.
Serve as the technical backbone of Roland Berger’s AI Lab, designing secure, scalable enterprise and solution architectures for generative AI and agent applications. Guide internal transformation and client delivery teams from proof of value through production.
Build data-driven software and custom SaaS products that improve consultant productivity and support Roland Berger clients. The role combines backend development, large-scale data processing, cloud architecture, and interactive dashboards.