Senior Project Consultant- Development- SAP BTP & AI Platform Architect- 10+ yrs.

We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.

What you’ll build-

In this role, you’ll shape the evolution of a live enterprise platform on SAP BTP and create a technical foundation for reliable, sustainable product delivery. Specifically, you will:

• Translate product goals and business needs into a coherent architecture, clear technical priorities, and an actionable delivery path.

• Define component interfaces and ownership boundaries so a small team can work autonomously while contributing to one consistent platform.

• Remain close to the code, personally designing and implementing high-quality production code in the areas most critical to the platform.

• Lead delivery from design to production with clear accountability, predictable quality, and operational readiness.

• Strengthen the platform so it can scale, evolve safely, and remain straightforward to operate and support.

• Add selected AI-enabled capabilities where they solve real user problems and can be evaluated, monitored, and governed responsibly.

• Partner with the product owner and stakeholders to make trade-offs visible and ensure technical investment supports meaningful business outcomes.

What you bring-

• 10+ years in software engineering, including experience as an architect or technical lead and ownership of production SAP BTP applications across multiple releases.

• Deep hands-on expertise in SAP CAP (Node.js/CDS), SAPUI5, SAP Fiori elements, SAP HANA Cloud, cloud deployment, JavaScript, SQL, with a record of production-grade delivery.

• Practical experience with enterprise generative AI orchestration, including prompt templating, RAG/vector grounding, data masking, content filtering, and tool/function calling.

• An architecture-first mindset, pragmatic decision-making, and the ability to se technical direction and ensure engineering quality.