Expert Machine Learning Engineer (Agentic AI, SAP BTP) (Bangalore, IN, 560066)

SAP
Bengaluru
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 10-12 yearsEducation: bachelorsSkills: ["Architectural thinking","Engineering excellence","Code review"]

Design and build enterprise-grade LLM and Generative AI solutions across intelligent assistants, AI copilots, agentic workflows, and RAG-powered applications in the SAP ecosystem. Architect scalable systems, integrate vector search and tool/function calling, and implement LLMOps with observability, governance, and guardrails. Develop production-quality Python-first AI services with SAP CAP integration, evaluation/benchmarking frameworks, and SRE practices for reliability and performance.

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FursaFursa
SAP
SAP
2 hours ago

Expert Machine Learning Engineer (Agentic AI, SAP BTP) (Bangalore, IN, 560066)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Design and build enterprise-grade LLM and Generative AI solutions across intelligent assistants, AI copilots, agentic workflows, and RAG-powered applications in the SAP ecosystem. Architect scalable systems, integrate vector search and tool/function calling, and implement LLMOps with observability, governance, and guardrails. Develop production-quality Python-first AI services with SAP CAP integration, evaluation/benchmarking frameworks, and SRE practices for reliability and performance.
Location: Bengaluru
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design and build scalable LLM-powered applications, intelligent assistants, and AI copilots aligned to business transformation goals.
  • •Architect RAG pipelines, knowledge retrieval systems, and agentic/multi-agent workflows using commercial and open-source models, including prompt/tool/function calling and evaluation.
  • •Implement production-grade AI application code across the stack, from data ingestion and embeddings to orchestration logic, API layers, and test harnesses.
  • •Integrate and deploy agentic workflows with SAP AI Core and embed LLM features into CAP/Fiori applications; implement scalable multi-tenant SaaS patterns on SAP BTP.
  • •Establish LLMOps and observability (deployment, monitoring, governance/guardrails), instrument tracing across microservices, and apply SRE practices for reliability, latency, throughput, and incident response.
Travel: Low travel

Key Requirements

  • •10–12 years of hands-on experience in AI/ML, Generative AI, Data Science, and/or Enterprise Architecture delivering production-grade LLM and AI solutions.
  • •Degree in Computer Science, AI, Data Science, Engineering, or a related field.
  • •Expert-level Python for AI pipelines, agent frameworks, orchestration logic, APIs, and evaluation systems; strong engineering hygiene with unit/integration testing.
  • •Strong SQL and HANA Cloud query optimization skills, including HANA-specific constructs.
  • •Experience building/consuming RESTful and event-driven APIs, with proficiency in Git and CI/CD, plus unit and integration test harness design.
Experience:10-12 yearsAI/MLGenerative AIEnterprise Architecture
Education:Bachelor's in Computer Science, AI, Data Science, Engineering
Skills:Architectural thinkingEngineering excellenceCode review
Tech Stack:PythonJavaCAPSQLHANA CloudREST APIsEvent-driven APIsAsynchronous programmingGitCI/CDLangChainLlamaIndexSemantic KernelHugging FaceOpenAI APIsPineconeWeaviateChromaDBFAISSHANA Cloud Vector Engine

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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