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

SAP
Germany
Workplace: HybridFull timeFunction: Data Science & Machine LearningEducation: 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 executives, define reusable reference architectures and governance, and guide delivery teams while driving security, observability, performance, and compliance for enterprise AI solutions.

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FursaFursa
SAP
SAP
2 hours ago

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

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

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 executives, define reusable reference architectures and governance, and guide delivery teams while driving security, observability, performance, and compliance for enterprise AI solutions.
Location: Germany
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Own end-to-end enterprise AI program architecture from discovery through production.
  • •Lead solution architecture spanning AI agents, RAG, Knowledge Graphs, MCP, multi-agent systems, enterprise integrations, and cloud-native platforms.
  • •Advise customer executives and enterprise/program leadership, including architecture reviews and executive presentations.
  • •Architect scalable AI platforms using SAP AI Core, SAP BTP, Joule, Kubernetes, hyperscalers, and enterprise integration services.
  • •Drive security, observability, performance, compliance, and operational excellence; establish reusable reference architectures and governance models.
Travel: Low travel

Key Requirements

  • •Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Engineering, or related field.
  • •10+ years of software engineering and enterprise architecture experience with 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 experience architecting with SAP AI Core and SAP BTP, including SAP integration technologies, plus Kubernetes, Docker, CI/CD, DevSecOps, and cloud platforms (AWS, Azure, GCP).
Education:Bachelor's in Computer Science, Artificial Intelligence, Engineering, or related discipline
Skills:Technical leadershipExecutive stakeholder managementStrategic thinkingMentoringCommunication
Tech Stack:PythonLLMsAgentic AIRAGKnowledge GraphsGraphRAGVector databasesMCPTool callingEvaluation frameworksAI observabilitySAP AI CoreSAP BTPJouleKubernetesDockerCI/CDDevSecOpsAWSAzure

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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