SAP
(Senior) AI Developer(m/w/x)
Full-time/Part-timeOn-siteNot specified
Garching bei München
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SASAP
Agentic AI Engineer Expert(m/w/x)
Garching bei München
Full-timeOn-siteExperienced
AI/ML
Nejo AI Summary
Architecting scalable AI components for sales workflows at enterprise software provider for 20+ industries, automating processes and providing decision support. Proven AI/ML engineering experience, including model development and production deployment, required. Flexible working models.
Requirements
- Strong engineering fundamentals
- Practical AI expertise
- Passion for meaningful innovation
- Proven experience in AI/ML engineering
- Model development, evaluation, and deployment in production environments
- Hands-on experience with Python and modern AI frameworks
- Familiarity with generative AI, LLM orchestration, prompt engineering, and retrieval-augmented systems
- Experience building scalable cloud-native solutions
- Experience with SAP BTP or comparable platforms (AWS, Azure, GCP)
- Strong understanding of data engineering concepts
- Strong understanding of API-based architectures
- Knowledge of MLOps practices
- Knowledge of CI/CD
- Knowledge of monitoring of AI systems
- Energized by lifelong learning
- Energized by experimentation
- Ability to turn ambitious ideas into working solutions
Tasks
- Design AI-powered capabilities
- Empower Account Executives with insights
- Provide automation for sales workflows
- Offer decision support in sales workflows
- Architect scalable AI components
- Implement scalable AI components
- Integrate AI into enterprise systems
- Transform complex sales processes
- Create intuitive, insight-driven experiences
- Apply machine learning techniques
- Utilize generative AI
- Employ advanced analytics
- Develop intelligent automation services
- Enhance pipeline visibility
- Prioritize sales opportunities
- Improve forecasting accuracy
- Boost operational efficiency
- Manage the AI system lifecycle
- Oversee experimentation to deployment
- Implement MLOps practices
- Monitor AI system performance
- Ensure AI system governance
- Optimize AI system performance
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- AI frameworks
- generative AI
- LLM orchestration
- prompt engineering
- retrieval-augmented systems
- SAP BTP
- AWS
- Azure
- GCP
- MLOps
- CI/CD
Benefits
Learning & Development
- Constant learning
- Skill growth
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
Agentic AI Engineer Expert(m/w/x)
Garching bei München
Full-timeOn-siteExperienced
AI/ML
Nejo AI Summary
Architecting scalable AI components for sales workflows at enterprise software provider for 20+ industries, automating processes and providing decision support. Proven AI/ML engineering experience, including model development and production deployment, required. Flexible working models.
Requirements
- Strong engineering fundamentals
- Practical AI expertise
- Passion for meaningful innovation
- Proven experience in AI/ML engineering
- Model development, evaluation, and deployment in production environments
- Hands-on experience with Python and modern AI frameworks
- Familiarity with generative AI, LLM orchestration, prompt engineering, and retrieval-augmented systems
- Experience building scalable cloud-native solutions
- Experience with SAP BTP or comparable platforms (AWS, Azure, GCP)
- Strong understanding of data engineering concepts
- Strong understanding of API-based architectures
- Knowledge of MLOps practices
- Knowledge of CI/CD
- Knowledge of monitoring of AI systems
- Energized by lifelong learning
- Energized by experimentation
- Ability to turn ambitious ideas into working solutions
Tasks
- Design AI-powered capabilities
- Empower Account Executives with insights
- Provide automation for sales workflows
- Offer decision support in sales workflows
- Architect scalable AI components
- Implement scalable AI components
- Integrate AI into enterprise systems
- Transform complex sales processes
- Create intuitive, insight-driven experiences
- Apply machine learning techniques
- Utilize generative AI
- Employ advanced analytics
- Develop intelligent automation services
- Enhance pipeline visibility
- Prioritize sales opportunities
- Improve forecasting accuracy
- Boost operational efficiency
- Manage the AI system lifecycle
- Oversee experimentation to deployment
- Implement MLOps practices
- Monitor AI system performance
- Ensure AI system governance
- Optimize AI system performance
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- AI frameworks
- generative AI
- LLM orchestration
- prompt engineering
- retrieval-augmented systems
- SAP BTP
- AWS
- Azure
- GCP
- MLOps
- CI/CD
Benefits
Learning & Development
- Constant learning
- Skill growth
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.
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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