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

SAP
Germany
Workplace: HybridFull timeFunction: Data Science & Machine LearningEducation: high_schoolSkills: ["Technical leadership","Executive stakeholder management","Strategic thinking","Mentoring","Communication"]

Provide technical leadership for SAP’s most strategic enterprise AI engagements. Own end-to-end AI program architecture from discovery to production, leading solution architecture across AI agents, RAG, Knowledge Graphs, and enterprise integrations on cloud-native platforms. Serve as primary technical advisor to executives, define reusable reference architectures and governance, and guide engineering teams while driving security, observability, performance, and compliance for scalable AI solutions.

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FursaFursa
SAP
SAP
2 hours ago

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

✓ Verified Job

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. Own end-to-end AI program architecture from discovery to production, leading solution architecture across AI agents, RAG, Knowledge Graphs, and enterprise integrations on cloud-native platforms. Serve as primary technical advisor to executives, define reusable reference architectures and governance, and guide engineering teams while driving security, observability, performance, and compliance for scalable 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 architecture for complex enterprise AI programs from discovery through production.
  • •Lead solution architecture for AI agents, RAG, Knowledge Graphs, MCP, multi-agent systems, enterprise integrations, and cloud-native platforms.
  • •Act as the primary technical advisor to customer executives and enterprise/program leadership.
  • •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 while guiding and mentoring 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 with customer-facing delivery.
  • •Expertise in Python and modern enterprise application architecture.
  • •Deep experience with LLMs and agentic AI, including RAG, Knowledge Graphs, vector databases, MCP/tool calling, and evaluation/AI observability.
  • •Strong background in Kubernetes, Docker, CI/CD, DevSecOps, cloud platforms (AWS, Azure, GCP), and distributed systems.
Experience:Enterprise architectureEnterprise integrationsCloudLLMsAgentic AI
Education:High School in Computer Science, Artificial Intelligence, Engineering
Skills:Technical leadershipExecutive stakeholder managementStrategic thinkingMentoringCommunication
Tech Stack:PythonLLMsRAGKnowledge GraphsGraphRAGVector databasesMCPTool callingAI observabilitySAP AI CoreSAP BTPJouleKubernetesDockerCI/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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