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SAP
AI

Principal Generative AI Engineer

SAP · Palo Alto, CA, US · $192k - $420k

Actively hiring Posted 6 months ago

Responsibilities

  • System Architecture: Lead the technical architecture for high-scale AI applications
  • Build Agentic Systems: Design and implement multi-agent systems capable of autonomous reasoning, planning and execution.
  • Hands-On Coding: Actively contribute to the codebase of critical components and complex architectural patterns. You will build greenfield Proofs of Concept (PoCs) and guide them to production, setting the standard for code quality and MLOps best practices.
  • Cross-Functional Collaboration: Partner with Product Management to assess technical feasibility and translate complex business requirements into robust technical designs.
  • Technical Leadership: Mentor Senior and Specialist developers, conduct design and code reviews and foster a culture of engineering excellence.

Basic qualifications

  • Bachelor’s degree in Computer Science, Engineering or a related technical field
  • 10+ years of professional experience in software development
  • 5+ years of experience in designing and architecting large-scale distributed systems or cloud-native applications (e.g. on AWS, GCP, Azure, or SAP BTP)
  • 5+ years of technical leadership (e.g. Staff Engineer, Tech Lead, or Architect roles) driving technical decisions
  • 5+ years of applied AI experience (e.g. NLP, Machine Learning) including 1+ years of experience with Generative AI techniques like Large Language Models, RAG, Agentic Workflows

Preferred qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related field
  • Advanced AI Concepts: Deep understanding of Neurosymbolic AI, Reasoning Engines, and the ability to ground LLM outputs using formal logic or constraints
  • Graph Technology: Experience designing and implementing Knowledge Graphs (RDF, Property Graphs) to power retrieval (GraphRAG) and reasoning systems
  • Agentic Frameworks: Hands-on experience with agentic tools (e.g. LangChain, LangGraph), prompt engineering, and context management
  • Domain Knowledge: Familiarity with Supply Chain Management, procurement processes, or logistics data models

Tags & focus areas

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Fulltime Remote Ai Ai Engineer Robotics Generative Ai
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