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

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

Set the technical direction for AI engineering across strategic customer engagements and enterprise initiatives. Serve as the deepest AI engineering authority, governing architectures, standards, and reference designs for AI-native applications built and operated at scale. Embed with complex SAP customer environments to co-design solutions, guide critical escalations, align AI product roadmaps with engineering execution, and mentor delivery teams while evaluating emerging AI capabilities and responsible AI practices.

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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 AI engineering authority, governing architectures, standards, and reference designs for AI-native applications built and operated at scale. Embed with complex SAP customer environments to co-design solutions, guide critical escalations, align AI product roadmaps with engineering execution, and mentor delivery teams while evaluating emerging AI capabilities and responsible AI practices.
Location: Germany
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Define and govern AI engineering architectures, reference designs, and standards for AI-native applications.
  • •Act as the highest-level technical escalation point for complex AI engineering challenges across programs.
  • •Embed with strategic customers to co-design transformational AI solutions with enterprise impact.
  • •Drive alignment between customer business strategy, AI product roadmaps, and engineering execution.
  • •Lead evaluation and adoption of emerging AI capabilities, including foundation models, agentic frameworks, multi-modal systems, and responsible AI practices.
Travel: Low travel

Key Requirements

  • •Deep expertise in designing and delivering production-grade AI-native applications at enterprise scale.
  • •Define AI engineering reference architectures, standards, and long-term technical roadmaps as a technical authority.
  • •Expertise in 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 mentor and elevate engineering talent, institutionalizing best practices, guardrails, and engineering quality.
Skills:Critical thinkingCommunicationCollaborationProblem-solvingDesign thinking
Tech Stack:AI engineeringLarge language modelsLLMsRAGAgentic systemsVector databasesCloud-native AI deployment patternsSAP AI CoreVectorizationJoule StudioRPT-1Business Data Cloud

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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