Forward Deployed Application/ML Engineering Expert (Bangalore, KA, IN, 560066)

SAP
Bengaluru
Workplace: HybridFull timeFunction: Data Science & Machine LearningSkills: ["Technical leadership","Accountability","Cross-functional communication","Risk management","Learning mindset"]

Design, build, and operate AI-native enterprise applications that embed large language models, RAG, and agent-based workflows directly into customer environments. Own technical delivery end-to-end—from discovery and prototyping through deployment, observability, stabilization, and handover—while ensuring scalability, security, reliability, and measurable impact. Collaborate with product, data, ML, and customer teams, apply AI-assisted engineering practices and SAP-aligned architectural guardrails, and manage risks and technical escalations within scope.

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FursaFursa
SAP
SAP
2 hours ago

Forward Deployed Application/ML Engineering Expert (Bangalore, KA, IN, 560066)

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

Job Summary

Design, build, and operate AI-native enterprise applications that embed large language models, RAG, and agent-based workflows directly into customer environments. Own technical delivery end-to-end—from discovery and prototyping through deployment, observability, stabilization, and handover—while ensuring scalability, security, reliability, and measurable impact. Collaborate with product, data, ML, and customer teams, apply AI-assisted engineering practices and SAP-aligned architectural guardrails, and manage risks and technical escalations within scope.
Location: Bengaluru
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, develop, and operate production-grade, cloud-native enterprise applications integrating AI capabilities (LLMs, RAG, agent-based workflows).
  • •Embed solutions into customer projects and fast-moving cross-functional teams by quickly understanding business processes and technical landscapes.
  • •Translate business and product requirements into robust application architectures balancing speed, quality, security, and maintainability.
  • •Prototype, iterate, and productionize solutions in customer environments using reference architectures and reusable assets.
  • •Own end-to-end application delivery (problem framing, deployment, observability, production operations) and apply evaluation frameworks and architectural guardrails for compliant, trustworthy outcomes.
Travel: Low travel

Key Requirements

  • •Extensive hands-on experience in cloud-native, enterprise, and SaaS application engineering with strong architectural knowledge (scalability, security, reliability).
  • •Ability to design and deliver AI-native applications using large language models, RAG architectures, vector databases, and agentic systems.
  • •Strong proficiency in AI/ML using Python libraries and frameworks.
  • •Experience with data pipelines and MLOps practices, including productionization and delivery lifecycle ownership.
  • •Ability to translate ambiguous business and operational needs into secure, scalable, reliable solutions while communicating complex technical topics clearly.
Experience:Enterprise SaaSAI/MLCloud-nativeMLOpsAgentic AI
Skills:Technical leadershipAccountabilityCross-functional communicationRisk managementLearning mindset
Tech Stack:PythonLarge language modelsRAGRetrieval-augmented generationVector databasesAgentic systemsMLOpsCloud-nativeDistributed systemsObservability

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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