Applied AI Senior Developer

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 bring As a technical lead within the pod, you will be shaping patterns and standards, partnering closely with product and platform teams, and helping others learn how to work effectively with — and critically supervise — AI coding and brainstorming tools. This level suits people who like the messy middle.

6 - 9 years of end-to-end experience building agentic systems, production-grade RAG, and evaluation frameworks.  You supervise Claude-style generators at the level of architecture, code, and ideas — spotting brittle abstractions or wrong design choices and explaining why.  Stack-fluid, with strong SAP BTP exposure (Kyma, CAP, HANA Cloud, kernel services, CPI/destination services).  Ontology or knowledge-graph experience is a plus. Learning agility (non-negotiable, and the most important value in this pod) — you rapidly pick up new models, frameworks, SAP technologies, ontologies, and industry processes. You enjoy updating your mental model as the landscape shifts, which it will, frequently. Bias for action — you move quickly from ambiguity to a working prototype and learn through execution. Critical thinking — you ask the right questions, so we stay focused on the objective instead of just managing the day. End-to-end ownership — you own the outcome from problem definition through build, deployment, and evaluation.

What you'll build We move across the prototype-to-production spectrum: we build fast, validate honestly, and partner with platform and product teams to scale what proves valuable. The stack varies — Python, TypeScript, Terraform, BTP, Joule Studio, CAP, Fiori, whatever the mission needs — but we care far more about your taste for good code, your ability to supervise Claude-style code generators and AI brainstormers, and your architectural judgment than about fluency in any single language. You’ll use tools like Claude as accelerators, but you’ll read what they produce, challenge their choices, and know when the AI is making the wrong call — both in code and in idea generation. You’ll own missions end-to-end: framing fuzzy problems, designing multi-agent workflows and ontology-grounded agents, and building the eval frameworks that prove when they outperform prompt/MCP-based approaches — or the memo that explains why an idea shouldn’t ship. You’ll design systems that other teams can adopt and extend.   Where you belong You’ll join Applied AI Builders, a small, hands-on pod that works closely with the CTO for Industry AI ENR. Our job is to take ambiguous problems, half-formed ideas, and evolving initiatives, and turn them into prototypes, proofs, and production-ready outcomes. Some weeks we’re embedded with a product team, partnering on a specific AI mission. Other weeks we’re stress-testing a raw idea to see whether it deserves to be built, adapted, or respectfully retired. The pod’s missions sit at the frontier of AI-native engineering. One current mission: ontologies. We’re designing and evolving ontologies for our domains, building agents on top of them, and proving — with data — how ontology-grounded agents compare to raw prompt-and-MCP-based agents. We’re defining the evaluation methodology that makes that comparison honest. This is one mission of many; more will follow as we double-click into AI engineering.     Bring out your best SAP innovations help more than four hundred thousand customers worldwide