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Forward Deployed Application Engineering Chief Expert(m/w/x)
Defining AI-native application architecture for enterprise software. Expertise in AI native application development and software engineering required. Constant learning and skill growth opportunities.
Anforderungen
- Proactive AI leveraging in workflows
- High-quality outputs through context design
- System integration for AI workflows
- Expertise in AI native application development
- Expertise in software engineering
- Broad experience across enterprise architectures
- Broad experience across enterprise platforms
- Leading complex, high impact programs
- Influencing technical direction beyond projects
- Work in Agentic AI context
- Shaping AI agents acting autonomously
- Applying AI agents within defined boundaries
- AI agent collaboration with human stakeholders
- Delivering measurable business outcomes
- Customer centric environments
- Advanced knowledge of large-scale AI systems
- Leveraging large language models
- Leveraging RAG architectures
- Leveraging vector databases
- Leveraging agentic systems
- Leveraging ML driven architectures
- Proficient in AI/ML Python libraries
- Proficient in AI/ML Python frameworks
- Proficient in data pipelines
- Proficient in MLOps
- Proficient in agent-driven engineering practices
- Advise senior stakeholders on technical decisions
- Influence senior stakeholders on technical decisions
- Advise executive stakeholders on technical decisions
- Influence executive stakeholders on technical decisions
- Advise senior stakeholders on technical trade-offs
- Influence senior stakeholders on technical trade-offs
- Advise executive stakeholders on technical trade-offs
- Influence executive stakeholders on technical trade-offs
- Trusted authority in application engineering
- Thought leader in application engineering
- Strong leadership capabilities
- Strong communication capabilities
- Strong mentoring capabilities
- Work in highly complex environments
- Work in highly ambiguous environments
Aufgaben
- Define and own architecture for complex AI-native applications
- Drive technical strategy with significant business impact
- Govern delivery of high-impact, high-risk programs
- Ensure alignment with SAP’s strategic, customer, and financial goals
- Embed in customer projects to understand business processes
- Rapidly assess technical landscapes and operational challenges
- Resolve complex technical and delivery challenges
- Champion advanced AI-assisted engineering approaches
- Shape SAP’s long-term technology roadmap
- Represent SAP as a trusted technical authority
- Engage with senior customers, partners, and internal stakeholders
- Provide technical vision and standards
- Enable consistency, quality, and scalability
- Mentor senior engineers and experts
- Foster excellence, innovation, and knowledge sharing
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- AI
- software engineering
- large language models
- RAG architectures
- vector databases
- agentic systems
- ML driven architectures
- Python
- MLOps
Benefits
Weiterbildungsangebote
- Constant learning
- Skill growth
Sonstige Vorteile
- Great benefits
Mentoring & Coaching
- Team growth support
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Forward Deployed Application Engineering Chief Expert(m/w/x)
Defining AI-native application architecture for enterprise software. Expertise in AI native application development and software engineering required. Constant learning and skill growth opportunities.
Anforderungen
- Proactive AI leveraging in workflows
- High-quality outputs through context design
- System integration for AI workflows
- Expertise in AI native application development
- Expertise in software engineering
- Broad experience across enterprise architectures
- Broad experience across enterprise platforms
- Leading complex, high impact programs
- Influencing technical direction beyond projects
- Work in Agentic AI context
- Shaping AI agents acting autonomously
- Applying AI agents within defined boundaries
- AI agent collaboration with human stakeholders
- Delivering measurable business outcomes
- Customer centric environments
- Advanced knowledge of large-scale AI systems
- Leveraging large language models
- Leveraging RAG architectures
- Leveraging vector databases
- Leveraging agentic systems
- Leveraging ML driven architectures
- Proficient in AI/ML Python libraries
- Proficient in AI/ML Python frameworks
- Proficient in data pipelines
- Proficient in MLOps
- Proficient in agent-driven engineering practices
- Advise senior stakeholders on technical decisions
- Influence senior stakeholders on technical decisions
- Advise executive stakeholders on technical decisions
- Influence executive stakeholders on technical decisions
- Advise senior stakeholders on technical trade-offs
- Influence senior stakeholders on technical trade-offs
- Advise executive stakeholders on technical trade-offs
- Influence executive stakeholders on technical trade-offs
- Trusted authority in application engineering
- Thought leader in application engineering
- Strong leadership capabilities
- Strong communication capabilities
- Strong mentoring capabilities
- Work in highly complex environments
- Work in highly ambiguous environments
Aufgaben
- Define and own architecture for complex AI-native applications
- Drive technical strategy with significant business impact
- Govern delivery of high-impact, high-risk programs
- Ensure alignment with SAP’s strategic, customer, and financial goals
- Embed in customer projects to understand business processes
- Rapidly assess technical landscapes and operational challenges
- Resolve complex technical and delivery challenges
- Champion advanced AI-assisted engineering approaches
- Shape SAP’s long-term technology roadmap
- Represent SAP as a trusted technical authority
- Engage with senior customers, partners, and internal stakeholders
- Provide technical vision and standards
- Enable consistency, quality, and scalability
- Mentor senior engineers and experts
- Foster excellence, innovation, and knowledge sharing
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- AI
- software engineering
- large language models
- RAG architectures
- vector databases
- agentic systems
- ML driven architectures
- Python
- MLOps
Benefits
Weiterbildungsangebote
- Constant learning
- Skill growth
Sonstige Vorteile
- Great benefits
Mentoring & Coaching
- Team growth support
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
SAP
Branche
IT
Beschreibung
SAP innovations help over four hundred thousand customers worldwide work together more efficiently and use business insight more effectively.
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