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Working at SAP

  • Company employees
    107,000

Hiring in

  • Global

Office locations

Join SAP as an Application Engineer - Intelligent Operations (T4) in Garching bei München, Germany. In this influential leadership role without a management title, you will build the Intelligent Operations capability from the ground up, ensuring the production reliability, security, and quality of advanced AI and LLM-based systems for enterprise customers.

Requirements

  • Deep hands-on experience with LLM-based systems, agentic workflows, and distributed architectures
  • Proven expertise in observability, incident management, and production reliability across cloud environments
  • Experience operating in regulated or enterprise-grade settings focusing on compliance, security posture, and operational governance
  • No specific degree or minimum years of experience strictly mandated, but extensive senior-level production experience is required

Skills & Responsibilities

  • Cloud architecture: Build and scale monitoring, alerting, and incident response capabilities for deployed AI solutions across cloud environments.
  • Evaluations and benchmarking engineering: Implement AI quality in production through drift detection, performance benchmarking, and guardrails validation.
  • Application security: Establish best practices for production security, data boundaries, and compliance across customer engagements.
  • Agentic engineering: Manage and operate LLM-based systems and agentic workflows in production to ensure contractual SLAs are met.
  • Effective Communication: Collaborate across organizational boundaries with delivery squads, platform teams, and customers to define handover models and operational standards.
  • Potential transition routes: People from Site Reliability Engineering (SRE), Cloud Operations, or AI/ML Engineering roles may bring relevant distributed systems and observability skills, alongside meeting enterprise operational requirements.

Job description

Company Description

Job Description

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.

Apply now
SAP

Application Engineer - Intelligent Operations (T4) (f/m/d)

Garching bei München

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

Qualifications

Additional Information

About SAP
With a global network of customers, partners, employees, and thought leaders, SAP helps the world run better and improves people’s lives.
As a leader in enterprise applications and business AI, SAP stands at the nexus of business and technology. For over 50 years, organizations have trusted SAP to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience.

We win with inclusion
SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.
SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.

AI Usage in the Recruitment Process
For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
Please note that any violation of these guidelines may result in disqualification from the hiring process.

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