SAP
Forward Deployed Application Engineering Chief Expert(m/w/x)
Full-timeOn-siteSenior
München
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SASAP
Forward Deployed Application/ML Engineering Expert(m/w/x)
Garching bei München
Full-timeOn-siteSenior
AI/ML
Nejo AI Summary
Designing cloud-native enterprise apps with AI capabilities for SAP's 400,000+ customers. Extensive hands-on cloud-native, enterprise, and SaaS application engineering experience required. Constant learning and skill growth opportunities.
Requirements
- Extensive hands-on experience in software and application engineering for cloud-native, enterprise, and SaaS environments
- Strong knowledge of architectural principles (scalability, security, reliability)
- Proven ability to design and deliver AI-native applications
- Utilization of large language models, RAG architectures, vector databases, and agentic systems
- Strong proficiency in AI/ML Python libraries and frameworks
- Exposure to data pipelines and MLOps practices
- Skilled in integrating Agentic AI into complex business processes
- Solid architectural foundation across cloud platforms, distributed systems
- Experience owning solutions across full application lifecycle
- Ability to work effectively with cross-functional teams and stakeholders
- Clear communication of complex technical topics
- Learning mindset, technical leadership, and accountability
- Proactive approach to leveraging AI in everyday workflows
- Ensuring high-quality outputs through thoughtful context design and system integration
Tasks
- Design and develop cloud-native enterprise applications with AI capabilities
- Integrate large language models, retrieval-augmented generation, and agent-based workflows
- Embed in customer projects and cross-functional teams to understand business and technical needs
- Translate business and product requirements into robust application architectures
- Rapidly prototype and productionize solutions, adapting to real-world constraints
- Own end-to-end application delivery, from problem framing to production operations
- Apply AI-assisted engineering practices and architectural guardrails
- Ensure compliance, trustworthiness, and high-quality solutions
- Manage delivery milestones, quality standards, and technical risks
- Communicate solution approaches, trade-offs, and progress to customers and stakeholders
- Contribute to engineering standards and best practices
- Develop reusable components to improve efficiency and consistency
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- cloud-native
- enterprise
- SaaS
- AI-native applications
- large language models
- RAG architectures
- vector databases
- agentic systems
- Python
- data pipelines
- MLOps
Benefits
Learning & Development
- Constant learning
- Skill growth
Other Benefits
- Great benefits
- Accessibility accommodations
Mentorship & Coaching
- Team growth support
Informal Culture
- Inclusion culture
Healthcare & Fitness
- Health and well-being focus
Flexible Working
- Flexible working models
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/ML Engineering Expert(m/w/x)
Garching bei München
Full-timeOn-siteSenior
AI/ML
Nejo AI Summary
Designing cloud-native enterprise apps with AI capabilities for SAP's 400,000+ customers. Extensive hands-on cloud-native, enterprise, and SaaS application engineering experience required. Constant learning and skill growth opportunities.
Requirements
- Extensive hands-on experience in software and application engineering for cloud-native, enterprise, and SaaS environments
- Strong knowledge of architectural principles (scalability, security, reliability)
- Proven ability to design and deliver AI-native applications
- Utilization of large language models, RAG architectures, vector databases, and agentic systems
- Strong proficiency in AI/ML Python libraries and frameworks
- Exposure to data pipelines and MLOps practices
- Skilled in integrating Agentic AI into complex business processes
- Solid architectural foundation across cloud platforms, distributed systems
- Experience owning solutions across full application lifecycle
- Ability to work effectively with cross-functional teams and stakeholders
- Clear communication of complex technical topics
- Learning mindset, technical leadership, and accountability
- Proactive approach to leveraging AI in everyday workflows
- Ensuring high-quality outputs through thoughtful context design and system integration
Tasks
- Design and develop cloud-native enterprise applications with AI capabilities
- Integrate large language models, retrieval-augmented generation, and agent-based workflows
- Embed in customer projects and cross-functional teams to understand business and technical needs
- Translate business and product requirements into robust application architectures
- Rapidly prototype and productionize solutions, adapting to real-world constraints
- Own end-to-end application delivery, from problem framing to production operations
- Apply AI-assisted engineering practices and architectural guardrails
- Ensure compliance, trustworthiness, and high-quality solutions
- Manage delivery milestones, quality standards, and technical risks
- Communicate solution approaches, trade-offs, and progress to customers and stakeholders
- Contribute to engineering standards and best practices
- Develop reusable components to improve efficiency and consistency
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- cloud-native
- enterprise
- SaaS
- AI-native applications
- large language models
- RAG architectures
- vector databases
- agentic systems
- Python
- data pipelines
- MLOps
Benefits
Learning & Development
- Constant learning
- Skill growth
Other Benefits
- Great benefits
- Accessibility accommodations
Mentorship & Coaching
- Team growth support
Informal Culture
- Inclusion culture
Healthcare & Fitness
- Health and well-being focus
Flexible Working
- Flexible working models
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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