SAP

Senior Machine Learning Engineer-Office of the CTO

SAP
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22 hours ago
Bengaluru, IndiaSenior

Responsibilities

  • Develop tooling and reference architectures across Platform, Data, AI, and Agents, including agentic workflow blueprints, LLM integration patterns, and multi-model orchestration topologies.
  • Explore emerging AI and agent technologies including neuro-symbolic AI, knowledge graphs, MCP, agent orchestration, RAG, GraphRAG, agentic memory architectures, agent harness engineering, multi-agent systems, frontier model evaluation, inference optimization, and responsible AI guardrails.
  • Prototype and build proof points that influence company-wide strategic decisions.
  • Contribute to research, concept notes, technical investigations, and technology strategy documents.
  • Perform technology due diligence for buy and partner decisions by evaluating external products, vendors, and technology partners.
  • Contribute to strategic initiatives including All in on AI, AI Native North Star Architecture, CTO Circle, and the SAP Architecture Center.
  • Support executive board, CTO, and CEO projects by driving cross-organizational technical alignment and influencing technology strategy.

Requirements

  • Degree in Computer Science, Information Technology, or a related field.
  • 10+ years of experience in software development and architecture design.
  • Strong experience in one or more of GenAI/LLM application development, agentic systems, AI/ML engineering, data and analytics, or cloud-native architecture.
  • Hands-on development experience with SAP Business Technology Platform, including SAP AI Core, SAP Business Data Cloud, or SAP Joule.
  • Proficiency in at least one programming language such as Java, Node.js, or Python, with working knowledge of LLM SDKs such as LangChain, LlamaIndex, or Semantic Kernel.
  • Familiarity with vector databases such as HANA Cloud Vector Engine, Pinecone, or Weaviate.
  • Understanding of software development lifecycle practices, GitHub, CI/CD, tests, and LLMOps practices such as prompt versioning, evaluation pipelines, and model observability.
  • Familiarity with AI safety, output grounding, and hallucination mitigation strategies in production settings.
  • Experience with hyperscalers such as Azure, GCP, or AWS and technology partners is a plus.
  • Strong communication and presentation skills, collaboration abilities, continuous-learning orientation, and comfort working in ambiguous environments.

Benefits

  • Flexible working models, health and well-being support, inclusion initiatives, accessibility accommodations, and personal development opportunities.
  • Regular full-time employment with expected travel of 0–10%; the requisition indicates a hybrid work arrangement.
  • The role is based in India and collaborates with colleagues in Germany and the United States.
SAP

About SAP

10,000+ employees

SAP builds enterprise application software and cloud services for finance, procurement, supply chain, human resources, and analytics, sold through subscriptions, licenses, and support. Its portfolio includes SAP S/4HANA, SAP Business Technology Platform, SAP Ariba, and SAP SuccessFactors. Founded in 1972 and headquartered in Walldorf, Germany, SAP is a public company listed on the NYSE and Frankfurt (ETR) and serves enterprises and public-sector organizations worldwide.

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