Your contribution to something big:
Develop AI solutions end to end: Design, prototype, implement, deploy and continuously improve Generative AI products and agentic workflows throughout their technical lifecycle.
Build hands-on AI solutions: Develop prompts, agent workflows and tool integrations using Python, enterprise AI platforms and workflow automation tools such as n8n.
Connect AI with SAP: Integrate AI solutions with SAP ERP environments, including SAP ECC and SAP S/4HANA, using APIs, MCPs, webhooks and established SAP integration technologies.
Shape robust interfaces: Define clear technical interface requirements for SAP platform teams, including OData, BAPIs, RFCs, REST and SOAP APIs.
Translate business needs into technology: Work closely with AI Specialists, Data Engineers, ERP experts and business stakeholders to translate use cases and user feedback into effective AI solutions and technical requirements.
Prototype and experiment: Rapidly turn ideas into working prototypes, evaluate emerging AI capabilities and identify opportunities to bring them into production.
Drive product value: Co-own the lifecycle of AI products after rollout, including backlog prioritization, release coordination, continuous improvement and scaling across business areas and geographies.
Enable measurable impact: Focus on solutions that improve business processes, user experience and operational efficiency while ensuring scalability and maintainability.
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