SAP is looking to leverage AI to solve legacy Enterprise issues and create meaningful impact for their customers and their business by curating and building AI-first applications.
Requirements
- Experience with various LLM architecture design using RAG, MCP and hybrid models
- Good understanding of choosing the right ML algorithms based on business problems
- Experience in prototyping AI solutions including having a good understanding of data vectorizations and or feature designs
- Experience building conversational tools and chatbot
- Experience in selecting the optimial algorithms and prototyping neural networks
- Experience successfully partnering with Data Science teams
Responsibilities
- Experience with various LLM architecture design using RAG, MCP and hybrid models
- Good understanding of choosing the right ML algorithms based on business problems
- Experience in prototyping AI solutions including having a good understanding of data vectorizations and or feature designs
- Leverage AI to solve pressing business challenges for our enterprise customer
- Use the various AI Studios to quickly create a proposed prototype for both neural networks and Agentic AI use cases
- Develop customer facing multi-modal Generative AI demos specific to use cases and document the script, set-up environment for partners and solution architects to leverage.
- Conduct hands-on market research to validate requirements and ensure we're building solutions that address real customer needs and market opportunities
Other
- Collaborate with SAP external customers specifically Retail, Manufacturing.. to drive workshops and outline AI use-cases. Develop PRD’s to clearly communicate requirements to the Engineering teams.
- Partner with leadership, customers, and prospects to identify opportunities where AI can deliver value at scale for multiple SAP customers to build end to end processes using AI
- Define and track key business metrics that demonstrate the business impact
- Collaborate with our engineering and development teams working on AI technologies, UX designers and GTM teams to accelerate bringing products to the market.
- Document what you know and guide others. This can vary from building targeted training for partners, Solutions Architects, and other internal stakeholders, to writing blogs, and to simply working through hard problems with a customer on a whiteboard
