Senior Application Engineer (f/m/d) - Intelligent Operations

**Stellenbeschreibung** *Intelligent Operations | CIS FDE Technology & Operations* *"We support and guardrail AI forward deployed engineering engagements across SAP industries — ensuring quality, security and lasting impact."* **What you’ll bring** You know what it takes to keep AI-native solutions running in production — not in a lab, but in customer environments where uptime, data boundaries, and contractual SLAs are non-negotiable. You’ve worked hands-on with LLM-based systems, agentic workflows, and distributed architectures, and you understand that building something is only half the job — the other half is making sure it stays healthy after go-live. You bring deep experience in observability, incident management, and production reliability across cloud environments. You can spot drift in agentic application behavior before it becomes a customer escalation. You’ve operated in regulated or enterprise-grade settings where compliance, security posture, and operational governance aren’t optional. And you can translate that experience into standards, playbooks, and repeatable processes that a growing team can follow. You’re comfortable working across organizational boundaries — with delivery squads, engineering/ platform teams, and customers/ external partners — and you can hold your ground in a room full of architects who built the thing you now need to run. **What you’ll build** You’re building Intelligent Operations from the ground up. This capability doesn’t exist at scale yet — you’ll define how it works. Concretely, that means: * **Handover model:** Take care of what “production-ready” looks like when an FDE engagement transitions from Value Delivery to Value Operation. You own the handover framework — what needs to be in place before your team takes over. * **Run-team operations:** Build the monitoring, alerting, and incident response capability for deployed AI solutions. Ensure contractual SLA commitments are met — not by heroics, but by design. * **AI quality in production:** Drift detection, performance benchmarking, guardrails validation, retraining triggers. The solutions we deploy use LLMs and agents — production quality assurance looks fundamentally different here than in classical software. * **Operational governance:** Establish best practices for production security, data boundaries, and compliance across customer engagements. Work with other engineers to ensure the enterprise bar holds post-deployment and establish self-healing capabilities. * **Scalable operations:** What works for one customer engagement needs to work for fifty. You’ll design the operational model to scale — tooling, automation, partner integration — so that every new go-live doesn’t require reinventing the wheel. You’ll work closely with the Knowledge & IP team to capture operational learnings and feed them back into the delivery lifecycle, so the next engagement starts stronger. **Where you belong** T&O is the engineering backbone of CIS Forward