Forward Deployed AI Engineer Expert (f/m/d)

SAP
Germany
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 10+ yearsEducation: bachelorsSkills: ["Technical leadership","Executive stakeholder management","Strategic thinking","Mentoring","Communication"]

Provide technical leadership for SAP’s most strategic enterprise AI engagements, owning end-to-end architecture from discovery to production. Lead solution architecture across AI agents, RAG, knowledge graphs, MCP, multi-agent systems, integrations, and cloud-native platforms. Serve as primary technical advisor to executive stakeholders, define reusable reference architectures and golden paths, and guide engineering teams while driving security, observability, performance, compliance, and operational excellence.

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FursaFursa
SAP
SAP
2 hours ago

Forward Deployed AI Engineer Expert (f/m/d)

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

Job Summary

Provide technical leadership for SAP’s most strategic enterprise AI engagements, owning end-to-end architecture from discovery to production. Lead solution architecture across AI agents, RAG, knowledge graphs, MCP, multi-agent systems, integrations, and cloud-native platforms. Serve as primary technical advisor to executive stakeholders, define reusable reference architectures and golden paths, and guide engineering teams while driving security, observability, performance, compliance, and operational excellence.
Location: Germany
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Own end-to-end architecture for complex enterprise AI programs from discovery through production.
  • •Lead solution architecture spanning AI agents, RAG, knowledge graphs, MCP, multi-agent systems, enterprise integrations, and cloud-native platforms.
  • •Act as primary technical advisor to customer executives, enterprise architects, and program leadership.
  • •Architect scalable AI platforms using SAP AI Core, SAP BTP, Joule, Kubernetes, hyperscalers, and enterprise integration services; define reusable frameworks and governance models.
  • •Drive security, observability, performance, compliance, and operational excellence; lead architecture reviews, workshops, and executive solution presentations; guide and mentor engineering teams across engagements.
Travel: Low travel

Key Requirements

  • •Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Engineering, or related fields.
  • •10+ years of software engineering and enterprise architecture experience, including significant customer-facing delivery.
  • •Expertise in Python and modern enterprise application architecture.
  • •Deep experience with LLMs and agentic AI, including RAG, GraphRAG, knowledge graphs, vector databases, MCP, tool calling, evaluation frameworks, and AI observability.
  • •Strong background architecting cloud-native, distributed systems, including Kubernetes, Docker, CI/CD, DevSecOps, and hyperscalers (AWS, Azure, GCP).
Experience:10+ yearsEnterprise architectureAICloud-nativeLLMDistributed systems
Education:Bachelor's in Computer Science, Artificial Intelligence, Engineering
Skills:Technical leadershipExecutive stakeholder managementStrategic thinkingMentoringCommunication
Tech Stack:PythonLLMsAgentic AIRAGGraphRAGKnowledge GraphsVector databasesMCPTool callingAI observabilitySAP BTPSAP AI CoreJouleKubernetesDockerCI/CDDevSecOpsAWSAzureGCP

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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