Senior AI Platform Engineer (f/m/d) for SCI Cross Product Engineering (Berlin, DE, 10557)

SAP
Berlin
Workplace: HybridFull timeFunction: DevOps, Cloud & InfrastructureSkills: ["Problem structuring","Trade-off making","Technical communication","Ownership","Cross-functional collaboration"]

Design and build scalable cloud-native applications, services, and APIs for SAP Cloud Infrastructure, driving the SCI Agentic AI platform toward autonomous, self-learning cloud operations. You’ll architect multi-agent AI systems using LLMs, prediction models, and knowledge graphs, productionize ML/AI capabilities like anomaly detection and root cause analysis, and improve reliability with CI/CD, automation, and observability across enterprise-scale environments.

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FursaFursa
SAP
SAP
5 hours ago

Senior AI Platform Engineer (f/m/d) for SCI Cross Product Engineering (Berlin, DE, 10557)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Design and build scalable cloud-native applications, services, and APIs for SAP Cloud Infrastructure, driving the SCI Agentic AI platform toward autonomous, self-learning cloud operations. You’ll architect multi-agent AI systems using LLMs, prediction models, and knowledge graphs, productionize ML/AI capabilities like anomaly detection and root cause analysis, and improve reliability with CI/CD, automation, and observability across enterprise-scale environments.
Location: Berlin
Workplace: Hybrid
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Mid level

Key Responsibilities

  • •Design, develop, and operate scalable cloud-native applications, services, and APIs using Go, Python, and Kubernetes.
  • •Drive the SCI Agentic AI platform workstream, planning, coordinating, and delivering across engineering teams aligned to the roadmap.
  • •Architect multi-agent systems integrating LLMs, prediction models, knowledge graphs, and operational data for autonomous infrastructure operations.
  • •Develop and productionize ML/AI capabilities such as anomaly detection, root cause analysis, and runbook automation.
  • •Improve software quality through automation, CI/CD, observability, and engineering best practices while coordinating cross-functional initiatives.
Travel: Low travel

Key Requirements

  • •Several years of experience building and operating production-grade software.
  • •Strong programming skills in Go and/or Python.
  • •Hands-on experience with Kubernetes and cloud-native architectures (microservices, APIs, distributed systems).
  • •Solid understanding of software architecture, scalability, reliability, security, and performance.
  • •Experience with CI/CD, automated testing, DevSecOps, and engineering best practices.
Experience:Cloud-nativeMulti-agent AIMachine learning
Skills:Problem structuringTrade-off makingTechnical communicationOwnershipCross-functional collaboration
Tech Stack:GoPythonKubernetesMicroservicesAPIsDistributed systemsCI/CDDevSecOpsObservabilityLLMsPrompt engineeringRAGFine-tuningMulti-agent architecturesAgent orchestrationOpenStackGardenerCephPrometheusApeiroRA

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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