Senior AI Platform Engineer (f/m/d) for SCI Cross Product Engineering

SAP; Berlin; Vor Ort; EUR 90.000 - 130.000; Vollzeit

Zusammenfassung

SAP is seeking a Senior AI Platform Engineer to join Cloud Infrastructure in Berlin. You will design and build scalable cloud-native solutions powering SAP’s cloud environments, with a focus on AI-enabled applications, platform engineering, or European open-source initiatives.

You will work across teams to plan, deliver, and operate multi-agent systems involving LLMs and data streams. You should bring several years of production software experience, strong Go/Python skills, and hands-on

Qualifikationen

• Several years of experience in building and operating production-grade software.
• Strong programming skills in Go and/or Python.
• Hands-on experience with Kubernetes and cloud-native architectures.
• Solid understanding of software architecture, scalability, reliability, security, and performance.
• Experience with CI/CD, automated testing, DevSecOps, and best practices.

Aufgaben

• Design, develop, and operate scalable cloud-native applications, services, and APIs.
• Drive the AI platform workstream across engineering teams.
• Architect multi-agent systems integrating LLMs and data sources.
• Develop and productionize ML/AI capabilities.
• Lead technical designs and influence architecture decisions.
• Coordinate cross-functional initiatives and document technical decisions.
• Improve software quality through automation, observability, and best practices.

Kenntnisse

Go

Python

Kubernetes

Cloud-native

CI/CD

DevSecOps

Distributed systems

Tools

OpenStack

Gardener

Ceph

Prometheus

Jobbeschreibung

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 Do

Join SAP Cloud Infrastructure and help build the next generation of cloud services and platform capabilities powering SAP’s cloud environments. As a Senior AI Platform Engineer, you will design and build scalable cloud-native solutions that solve complex engineering challenges at enterprise scale. Depending on your experience, you may work on cloud services, AI-enabled applications, platform engineering, or European open-source initiatives such as ApeiroRA and NeoNephos.

• Design, develop, and operate scalable cloud-native applications, services, and APIs using Go, Python, and Kubernetes.
• Drive the agentic AI platform workstream: plan, coordinate, and deliver across engineering teams, aligned to our roadmap (Semantic Data Foundation, Anomaly Detection, Root Cause Analysis, Runbook Automation).
• Architect multi-agent systems integrating LLMs, prediction models, knowledge graphs, and operational data for autonomous infrastructure operations.
• Develop and productionize ML/AI capabilities including anomaly detection, root cause analysis, and runbook automation.
• Drive technical designs and contribute to architecture decisions for strategic cloud and AI initiatives.
• Coordinate cross-functional initiatives, managing dependencies, milestones, and technical documentation.
• Improve software quality through automation, CI/CD, observability, and engineering best practices.

What You Bring

Technical Foundation

• Several years of experience building and operating production-grade software.
• Strong programming skills in Go (preferred) and/or Python.
• Hands-on experience with Kubernetes and cloud-native architectures (microservices, APIs, distributed systems).
• Solid understanding of software architecture, scalability, reliability, security, and performance.
• Experience with CI/CD, automated testing, DevSecOps, and software engineering best practices.

AI, Agentic AI & Data Science

• Strong understanding of AI and Machine Learning concepts: model training, inference, evaluation, and deployment.
• Experience with or knowledge of agentic AI patterns: multi-agent architectures, tool-use agents, reasoning loops, and agent orchestration.
• Familiarity with LLMs and generative AI: prompt engineering, RAG, fine-tuning, or integrating LLMs into production systems.
• Experience with data science fundamentals: data pipelines, feature engineering, anomaly detection, or predictive modeling.

Program & Workstream Management

• Proven ability to lead and coordinate complex technical workstreams across multiple teams.
• Experience translating strategy and roadmaps into actionable delivery plans.
• Comfortable operating in ambiguity: structuring problems, making trade-offs, and driving decisions.

Professional Skills

• Comfortable collaborating across teams, cultures, and locations.
• Able to communicate technical topics clearly to engineers, architects, and leadership.
• Structured, reliable, and able to take ownership while working collaboratively.

We don’t expect you to have experience with every technology listed. If you have a strong foundation in several of these areas and are interested in learning the others, we’d be happy to hear from you.

Meet the Team

You will join SAP Cloud Infrastructure, where we build the infrastructure powering SAP's Autonomous Enterprise, sovereign, and regulated cloud environments, leveraging technologies including OpenStack, Kubernetes/Gardener, Ceph, Prometheus, and more. Our engineering culture is hands-on and collaborative. We work on real infrastructure problems, share what we learn, and believe a private cloud is something you build, not something you rent.

During the application and selection process, candidates will be informed which manager they will be working with upon hiring.

Depending on project assignment, candidates may need to be eligible for security clearance under German law.

Bring out your best

SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.

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: [e-mail].

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.

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.

Work Area: Software-Development Operations

Expected Travel: 0 - 10%

Career Status: Professional

Employment Type: Regular Full Timeor part time

Additional Locations: or Garching or St. Leon Rot #LI-Hybrid