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Tailor your resume to this Senior AI Platform Engineer (f/m/d) for SCI Cross Product Engineering role.
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About the Role
Join SAP Cloud Infrastructure to build the next generation of cloud services and platform capabilities. You will design and build scalable cloud-native solutions, potentially working on cloud services, AI-enabled applications, platform engineering, or European open-source initiatives. A key focus is the SCI Agentic AI platform, a multi-agent system for autonomous cloud operations.
Responsibilities
- Design, develop, and operate scalable cloud-native applications, services, and APIs using Go, Python, and Kubernetes.
- Drive the agentic AI platform workstream, planning and delivering across engineering teams.
- 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.
Requirements
- 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.
- 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.
- 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.
- 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.
- Depending on project assignment, candidates may need to be eligible for security clearance under German law.
Skills
- Go
- Python
- Kubernetes
- Cloud-native architectures
- Microservices
- APIs
- Distributed systems
- CI/CD
- Automated testing
- DevSecOps
- AI
- Machine Learning
- Agentic AI
- Multi-agent architectures
- LLMs
- Generative AI
- Prompt engineering
- RAG
- Fine-tuning
- Data science
- Data pipelines
- Feature engineering
- Anomaly detection
- Predictive modeling
- OpenStack
- Gardener
- Ceph
- Prometheus
Location
- Hybrid
Work Type
- Regular Full Time
- part time
Experience Level
- Senior
Benefits
- Constant learning
- skill growth
- great benefits
- a team that wants you to grow and succeed
- focus on health and well-being
- flexible working models
About the Company
- 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.
- SAP Cloud Infrastructure builds the infrastructure powering SAP’s Autonomous Enterprise, sovereign, and regulated cloud environments.
- 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.
- 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.
Equal Opportunity
- 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.
- 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.