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Working at SAP

  • Company employees
    107,000

Hiring in

  • Global

Office locations

Join SAP as a Senior Application Engineer in Garching bei München, Germany, working in a full-time, permanent capacity with flexible working models. Shape the future of Intelligent Operations by ensuring reliability, security, and quality for deployed AI-native and LLM-based solutions in enterprise environments.

Requirements

  • Deep hands-on experience with LLM-based systems, agentic workflows, and distributed architectures in production.
  • Proven expertise in observability, incident management, and production reliability across cloud environments.
  • Background operating in regulated or enterprise-grade settings with a focus on compliance and security.
  • Hard skills required include Agentic AI, Cloud Architecture, Application Security, and AI Quality Assurance.
  • No specific degree or minimum years of experience threshold stated in the posting.

Skills & Responsibilities

  • Cloud architecture & distributed systems: Design and maintain scalable, reliable infrastructure for LLM-based applications in production.
  • Agentic orchestration & engineering: Monitor and manage agentic workflows, spotting behavioral drift before customer escalation.
  • Evaluations and benchmarking engineering: Implement performance benchmarking, drift detection, and retraining triggers to ensure AI production quality.
  • Application security & governance: Establish best practices for production security, compliance, and data boundaries across customer engagements.
  • Potential transition routes: People from Site Reliability Engineering, Cloud Infrastructure, or AI/ML Operations roles may bring relevant distributed systems and monitoring skills, alongside meeting the important enterprise operations requirements.

Job description

Unternehmensbeschreibung

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.

Apply now
SAP

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

Garching bei München
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 Deployed Engineering. Our mission: ensure quality, security, and lasting impact across AI engagements for SAP’s industry customers.

You’ll sit in the Intelligent Operations pillar — the part of T&O that owns what happens after go-live. Deployed solutions stay healthy and improve. That’s the mandate.

This is a leadership role without a management title. You’ll mentor engineers, set operational standards, and build the technical capabilities of a team that’s being assembled now. You’ll work globally, across FDE squads and hubs, with external delivery partners, and directly with customers when production demands it.

If you’ve spent your career at the intersection of SRE, AI systems, and enterprise operations — and you want to build something new rather than maintain something existing — this is the role.

We value the skills you bring and support you to build on them through our learning and development opportunities. These are the skills associated with this role:

Agentic AI Day-to-Day Practice, AI Adoption Capability, AI Output Quality Assurance, Context Engineering, AI-Assisted Automation and Prototyping, Learning Agility, Collaboration, Complex Problem Solving, Creative Thinking, Effective Communication, Agentic orchestration, Agentic engineering, Application security, Cloud architecture, Evaluations and benchmarking engineering

#SAPAICAreers

Qualifikationen

Zusätzliche Informationen

Über SAP
Mithilfe eines weltweiten Netzwerks aus Kunden, Partnern, Mitarbeitern und Vordenkern verbessert SAP die Abläufe in der weltweiten Wirtschaft und das Leben von Menschen.
Als weltweit führender Anbieter von Anwendungen und KI für Unternehmen sitzt SAP an der Schnittstelle zwischen Wirtschaft und Technologie. Seit über 50 Jahren vertrauen Unternehmen darauf, dass SAP sie durch die Zusammenführung geschäftskritischer Abläufe in Finanzwesen, Beschaffung, Personalwesen, Lieferkette und Customer Experience dabei unterstützt, bestmögliche Ergebnisse zu erzielen.

Wir gewinnen durch Inklusion
SAPs Kultur der Inklusion, der Fokus auf Gesundheit und Wohlbefinden sowie flexible Arbeitsmodelle stellen sicher, dass sich alle – unabhängig vom Hintergrund – einbezogen fühlt und ihr Bestes geben können.
Bei SAP sind wir überzeugt davon, dass uns die einzigartigen Fähigkeiten und Eigenschaften, die jede Person mitbringt, stärker machen. Deshalb investieren wir in die Menschen bei SAP, um Selbstvertrauen zu stärken und allen zu helfen, ihr volles Potenzial zu entfalten.
Unser Ziel ist es, alle Talente zu fördern und eine bessere Welt zu schaffen.

Chancengleichheit und Barrierefreiheit
SAP bekennt sich zu den Werten der Chancengleichheit am Arbeitsplatz und bietet im Fall von mit körperlichen und/oder geistigen Beeinträchtigungen barrierefreie Unterstützung bei der Bewerbung.
Wenn du dich für eine Stelle bei SAP bewerben möchtest und Unterstützung oder besondere Hilfe beim Navigieren auf unserer Website oder beim Ausfüllen deiner Bewerbung benötigst, sende bitte eine E-Mail mit deiner Anfrage an das Recruiting Operations Team: Careers@sap.com.
Anfragen auf angemessene Vorkehrungen werden im Einzelfall geprüft.

Nur unbefristete Positionen sind gemäß den Teilnahmebedingungen in der SAP Referral Policy für das SAP-Mitarbeiterempfehlungsprogramm berechtigt. Für Positionen in der Berufsausbildung können besondere Bedingungen gelten.

Einsatz von KI im Rekrutierungsprozess
Weitere Informationen über den verantwortungsvollen Einsatz von KI in unserem Rekrutierungsprozess findest du in unseren Richtlinien zur ethischen Nutzung von KI im Rekrutierungsprozess.
Bitte beachte, dass Verstöße gegen diese Richtlinien zum Ausschluss aus dem Bewerbungsprozess führen können.

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