SAP AI / GenAI Engineer
RemotePosted 2 months ago Expired
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Upload Your ResumeAbout This Role
Design and deliver enterprise-grade AI solutions on SAP Business Technology Platform (BTP), focusing on building production-ready GenAI and AI applications using SAP AI Core, AI Launchpad, and SAP Joule, integrated with SAP S/4HANA and core business processes. This role involves enabling intelligent automation across finance, procurement, and operations.
Responsibilities
- Design, build, and deploy AI & GenAI solutions on SAP BTP using SAP AI Core, AI Launchpad, and SAP Joule
- Develop RAG-based GenAI architectures grounded in SAP enterprise data
- Implement MCP-enabled integrations connecting LLMs with SAP systems and APIs
- Build Python-based AI services for inference, orchestration, and integration
- Integrate AI solutions into SAP business processes (O2C, P2P, R2R)
- Manage AI lifecycle, including deployment, monitoring, governance, and Responsible AI practices
- Collaborate with SAP functional, data, and business teams to drive real-world AI use cases
- Apply CI/CD, MLOps, and scalable deployment patterns for enterprise AI
Requirements
- 5-7 years of experience in AI / ML engineering
- Hands-on experience with SAP AI services (AI Core, AI Launchpad, Joule)
- Strong Python development skills
- Experience implementing Generative AI solutions in enterprise environments
- Solid understanding of RAG architectures, LLM integration, and orchestration patterns (MCP or similar)
- Experience integrating AI solutions via APIs and SAP services
- Knowledge of SAP data models and enterprise process integration
- Familiarity with Git and collaborative development workflows
Qualifications
- 5-7 years of experience in AI / ML engineering
Nice to Have
- Experience with SAP S/4HANA (Finance, Supply Chain, Procurement)
- Exposure to SAP Datasphere, Integration Suite, HANA Cloud
- Knowledge of SAP CAP / RAP or BTP extensibility
- Experience building agent-based AI solutions using SAP Joule
Skills
* Required skills
About Applicantz
Our Client is a Fortune 350 company that engages in the design, manufacturing, marketing, and service of semiconductor processing equipment.