Role Overview:Seeking a proficient Automation + AI/ML Engineer with experience in SAP SD and exposure to SAP MM/FI integrations. This role focuses on designing and delivering intelligent automation solutions for enterprise business processes, building AI-powered and agent-based workflows, and integrating Large Language Models (LLMs) and Generative AI capabilities into applications.
Key Responsibilities:- Design and deliver intelligent automation solutions for enterprise business processes.
- Build AI-powered and agent-based workflows.
- Integrate LLMs and GenAI capabilities into applications.
- Drive RESTful API automation and testing across SAP and non-SAP systems.
- Integrate Large Language Models (LLMs) into enterprise applications, including API integration, prompt engineering, retrieval workflows, and end-to-end Generative AI solution development.
- Design, develop, and optimize GenAI-powered workflows, ensuring scalability, reliability, and alignment with business objectives.
- Analyze business requirements, create functional specifications, understand SAP validations and ABAP-based implementations.
- Facilitate collaboration between business, SAP, API, and automation teams.
- Lead workshops, guide technical teams, and drive end-to-end solution delivery.
Required Skills:- Proficiency in Automation Testing.
- Expertise in Artificial Intelligence (AI) and Machine Learning (ML).
- Experience in SAP SD and exposure to SAP MM/FI integrations.
- Capability in building AI-powered and agent-based workflows.
- Experience integrating Large Language Models (LLMs) into enterprise applications.
- Proficiency in designing, developing, and optimizing GenAI-powered workflows.
- Understanding of SAP validations and ABAP-based implementations.
- Strong problem-solving, stakeholder management, and communication skills.
Qualifications:- 8-10 years of experience.
Preferred Skills:- Experience with cloud platforms, Docker, and Kubernetes.
- Knowledge of enterprise integration architectures.
- Exposure to SAP S/4HANA.
- Exposure to Apple ecosystem projects.
