SAP
Forward Deployed Application/ML Engineering Expert(m/w/x)
Full-timeOn-siteSenior
Garching bei München
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SASAP
Forward Deployed Application Engineering Chief Expert(m/w/x)
München
Full-timeOn-siteSenior
Nejo AI Summary
Defining AI-native application architecture for enterprise software. Expertise in AI native application development and software engineering required. Constant learning and skill growth opportunities.
Requirements
- 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
Tasks
- 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
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- AI
- software engineering
- large language models
- RAG architectures
- vector databases
- agentic systems
- ML driven architectures
- Python
- MLOps
Benefits
Learning & Development
- Constant learning
- Skill growth
Other Benefits
- Great benefits
Mentorship & Coaching
- Team growth support
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of SAP and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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SASAP
Forward Deployed Application Engineering Chief Expert(m/w/x)
München
Full-timeOn-siteSenior
Nejo AI Summary
Defining AI-native application architecture for enterprise software. Expertise in AI native application development and software engineering required. Constant learning and skill growth opportunities.
Requirements
- 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
Tasks
- 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
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- AI
- software engineering
- large language models
- RAG architectures
- vector databases
- agentic systems
- ML driven architectures
- Python
- MLOps
Benefits
Learning & Development
- Constant learning
- Skill growth
Other Benefits
- Great benefits
Mentorship & Coaching
- Team growth support
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of SAP and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
SAP
Industry
IT
Description
SAP innovations help over four hundred thousand customers worldwide work together more efficiently and use business insight more effectively.
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