Forward Deployed (Chief) AI Engineering Expert (m/f/d)

SAP
Germany
Workplace: HybridFull timeFunction: Data Science & Machine LearningSkills: ["Problem-solving","Critical thinking","Design thinking","Communication","Collaboration","Thought leadership","Mentorship"]

Set the technical direction for AI engineering across strategic customer engagements and enterprise initiatives. Serve as the deepest technical authority on architecting, building, and operating AI-native applications at scale, embedded in complex customer environments. Govern AI engineering architectures, act as the highest escalation point, drive alignment between AI product roadmaps and execution, evaluate emerging AI capabilities, and mentor engineering talent while translating field insights into reusable assets and product improvements.

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FursaFursa
SAP
SAP
2 hours ago

Forward Deployed (Chief) AI Engineering Expert (m/f/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

Set the technical direction for AI engineering across strategic customer engagements and enterprise initiatives. Serve as the deepest technical authority on architecting, building, and operating AI-native applications at scale, embedded in complex customer environments. Govern AI engineering architectures, act as the highest escalation point, drive alignment between AI product roadmaps and execution, evaluate emerging AI capabilities, and mentor engineering talent while translating field insights into reusable assets and product improvements.
Location: Germany
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Define and govern AI engineering architectures, reference designs, and standards for AI-native application delivery and operations.
  • •Act as the highest-level technical escalation point for complex AI engineering challenges and guide critical design/implementation decisions.
  • •Embed with strategic customers to co-design transformational AI solutions based on their most complex challenges.
  • •Drive alignment between customer business strategy, AI product roadmaps, and engineering execution across teams.
  • •Evaluate and lead adoption of emerging AI capabilities (e.g., foundation models, agentic frameworks, multi-modal systems) and responsible AI practices, while mentoring engineering talent.
Travel: Low travel

Key Requirements

  • •Extensive experience designing and delivering production-grade AI-native applications at enterprise scale.
  • •Define and govern AI engineering reference architectures, standards, and long-term technical roadmaps as a technical authority.
  • •Expertise with large language models, RAG architectures, agentic systems, vector databases, and cloud-native AI deployment patterns.
  • •Proven ability to lead complex, cross-functional programs across multiple delivery teams and technology domains.
  • •Ability to influence senior stakeholders and executives on high-impact technical and strategic decisions.
Experience:Enterprise softwareAICloud-native
Skills:Problem-solvingCritical thinkingDesign thinkingCommunicationCollaborationThought leadershipMentorship
Tech Stack:Large language modelsLLMsRAGRAG architecturesAgentic frameworksAgentic systemsVector databasesFoundation modelsMulti-modal systemsResponsible AISAP AI CoreVectorizationJoule StudioRPT-1Business Data CloudCloud-native AI deployment patterns

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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