Manager – Sap Btp & Agentic AI (all Genders) - Bcg Platinion - Vienna

BCG BCG · Consulting · Vienna, Austria · Consulting

Manager role focused on implementing SAP BTP and AI solutions, developing agent-based applications and integrated architectures for enterprise clients. Requires leadership, consulting experience, and practical AI/GenAI application knowledge.

What you'd actually do

  1. You will lead projects or workstreams for the implementation of SAP BTP and AI solutions
  2. You design and manage agent-based AI workflows (orchestration, tool integration, human-in-the-loop)
  3. You will develop scalable, integrated architectures for complex enterprise landscapes
  4. You lead proof-of-concepts, demos, and pilot implementations
  5. You advise clients on complex technology decisions

Skills

Required

  • Degree in computer science, business informatics, or related field
  • At least 6 years of relevant experience in a consulting environment with SAP BTP, cloud, or software development
  • In-depth knowledge of SAP BTP (e.g., CAP, Integration Suite, AI Core)
  • Strong programming skills and experience with modern development approaches
  • Practical experience with AI/GenAI applications in an enterprise context
  • Extensive experience with integration architectures and complex system landscapes
  • Experience leading teams as a project manager
  • Skilled in efficient resource planning and motivational leadership
  • Strong communication and leadership skills
  • Ability to understand and convey complex issues in German and English

Nice to have

  • Hyperscaler ecosystems and hybrid architectures are familiar to you

What the JD emphasized

  • at least 6 years of relevant experience in a consulting environment with SAP BTP, cloud, or software development
  • practical experience with AI/GenAI applications in an enterprise context
  • experience leading teams as a project manager

Other signals

  • Develop agent-based applications
  • Design and manage agent-based AI workflows
  • Practical experience with AI/GenAI applications in an enterprise context