Data and Applied Scientist Specialist/Expert (Bangalore, IN, 560066)

SAP
Bengaluru
Workplace: HybridFull timeFunction: Research & Scientific (R&D)Experience: 14+ yearsSkills: ["Problem-solving","Communication","Executive storytelling","Stakeholder alignment","Continuous learning"]

Lead the architecture and delivery of enterprise AI/ML and GenAI solutions, including LLM-powered applications, intelligent assistants, and AI copilots. Define enterprise AI/GenAI strategy, evaluate foundation models, and design scalable LLM/agentic systems with RAG pipelines, prompt orchestration, and fine-tuning. Establish LLMOps (deployment, monitoring, governance, guardrails) and architect end-to-end AI platforms across AWS, Azure, GCP, and SAP BTP while mentoring technical teams.

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FursaFursa
SAP
SAP
2 hours ago

Data and Applied Scientist Specialist/Expert (Bangalore, IN, 560066)

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Last checked: 2 hours agoStatus: Live

Job Summary

Lead the architecture and delivery of enterprise AI/ML and GenAI solutions, including LLM-powered applications, intelligent assistants, and AI copilots. Define enterprise AI/GenAI strategy, evaluate foundation models, and design scalable LLM/agentic systems with RAG pipelines, prompt orchestration, and fine-tuning. Establish LLMOps (deployment, monitoring, governance, guardrails) and architect end-to-end AI platforms across AWS, Azure, GCP, and SAP BTP while mentoring technical teams.
Location: Bengaluru
Workplace: Hybrid
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Mid level

Key Responsibilities

  • •Lead the architecture and delivery of enterprise AI/ML and Generative AI solutions, including LLM-powered applications, intelligent assistants, and AI copilots.
  • •Define enterprise AI/GenAI strategy and evaluate foundation models, frameworks, and emerging technologies aligned to business transformation.
  • •Design and implement scalable LLM applications and agentic systems, integrating vector databases, semantic search, prompt orchestration, tool/function calling, memory, and context-aware reasoning.
  • •Build robust RAG pipelines and knowledge retrieval systems; optimize prompts, inference, evaluation frameworks, fine-tuning, alignment, and model optimization.
  • •Establish LLMOps practices and architect end-to-end AI platforms (ingestion/processing, training/inference, orchestration, vector stores/embeddings, MLOps/LLMOps, Responsible AI, security, and compliance) across AWS, Azure, GCP, and SAP BTP.
Travel: Low travel

Key Requirements

  • •14+ years delivering production-grade data science, AI/ML, and Generative AI solutions and enterprise architecture.
  • •Degree in Computer Science, AI, Data Science, Engineering, or related field; PhD preferred for research-intensive profiles.
  • •Expertise in LLMs and GenAI including prompt engineering, RAG, AI agents/multi-agent systems, embeddings/semantic search, fine-tuning, and evaluation/guardrails.
  • •Experience establishing LLMOps practices covering deployment, monitoring, observability, governance, and guardrails.
  • •Strong programming and data skills including Python, SQL, and R, with Spark/Databricks and big-data ecosystems experience.
Experience:14+ years
Skills:Problem-solvingCommunicationExecutive storytellingStakeholder alignmentContinuous learning
Tech Stack:LLMsGenerative AINLPRAGLangChainLlamaIndexSemantic KernelHugging FaceOpenAI APIsPineconeWeaviateChromaDBFAISSTensorFlowPyTorchScikit-learnPythonSQLRSpark

Company Brief

SAP
Global enterprise software company best known for ERP systems and business applications covering finance, supply chain, procurement, HR, analytics, and customer management for large organizations.
Industry: Enterprise Software
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Walldorf, Germany
Founded: 1972
Glassdoor
Glassdoor: 4.1
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