Job Description

What you’ll do

  • Engage with customer stakeholders to define AI strategy, architecture, and measurable business outcomes.
  • Lead discovery sessions and workshops to shape enterprise AI adoption journeys.
  • Architect scalable, secure, enterprise-grade GenAI and Agentic AI solutions.
  • Develop reference architectures for use cases including RAG, multi-agent orchestration, A2A, MCP, and hybrid AI patterns.
  • Establish best practices for AI architecture covering governance, scalability, security, and lifecycle management.
  • Design and guide implementation of LLMOps/MLOps pipelines for enterprise deployments.
  • Architect AI solutions leveraging SAP BTP, AI Core, Joule, SAP HANA, S/4HANA, and SAP integration services.
  • Provide technical leadership and mentor engineering and data science teams.
  • Evaluate and select LLMs, agent frameworks, and AI platforms aligned to enterprise use cases.
  • Drive customer adopt...

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