## SAP AI Engineer
### Role Overview
We are seeking an experienced SAP AI Engineer to design, develop, deploy, and optimize AI/ML solutions within enterprise environments. The ideal candidate will have strong expertise in Machine Learning, Deep Learning, Generative AI (GenAI), and Large Language Models (LLMs), combined with the ability to integrate AI capabilities into business applications and SAP ecosystems.
### Key Responsibilities
AI Model Development
- Design, develop, and deploy AI/ML models to solve business challenges
- Select appropriate algorithms and frameworks based on use cases
- Train, validate, and optimize Machine Learning, Deep Learning, and Generative AI models
- Fine-tune model parameters to improve accuracy and performance
- Develop and optimize LLM-based and GenAI solutions
System Integration
- Convert AI/ML prototypes into scalable production solutions
- Develop APIs and services for AI model consumption
- Integrate AI capabilities into existing enterprise and SAP applications
- Collaborate with development teams to ensure seamless deployment and adoption
Infrastructure & MLOps
- Build and maintain scalable data pipelines and AI infrastructure
- Support model training, testing, deployment, and monitoring environments
- Implement MLOps best practices for versioning, deployment, and lifecycle management
- Ensure reliability, scalability, and security of AI solutions
Monitoring & Optimization
- Monitor deployed models for performance, accuracy, and data drift
- Troubleshoot and resolve production issues
- Continuously improve model performance and operational efficiency
- Implement automated monitoring and alerting mechanisms
Collaboration & Stakeholder Engagement
- Work closely with business stakeholders to identify AI opportunities
- Translate business requirements into AI use cases and technical solutions
- Collaborate with Data Scientists, Software Engineers, Product Owners, and Architects
- Provide technical guidance and best practices for AI adoption