Senior AI Systems Engineer

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. 

We are looking for a Senior AI Systems Engineer to design, build, and scale AI-driven operational intelligence and agentic systems for large-scale enterprise and cloud environments.You will apply machine learning, predictive modelling, and agentic workflows to real operational problems - anomaly detection, root cause analysis, predictive remediation, and intelligent automation moving Operations from reactive to predictive and semi-autonomous.This is a hands-on engineering role. You will own the full lifecycle: data, models, agents, services, deployment.

Core Skills : Machine Learning, AI Development, Statistics, Data-Driven Insights, Prediction Models, Generative AI, Agentic AI, Python, Cloud-Native Engineering

What you`ll build

• Prediction and anomaly-detection models
• Agentic workflows spanning Detection - Triage - RCA - Recommendation - Action with human-in-the-loop guardrails
• RAG-based retrieval systems over runbooks, historical incidents, knowledge bases, and resolution patterns
• Production AI services and APIs deployed on cloud infrastructure, with observability, evaluation, and drift monitoring built in
• Data pipelines that turn noisy, unstructured operational signal into structured, model-ready features

What you bring 

Must Have

• 4-11 years of hands-on engineering experience, with a strong backend / distributed-systems foundation
• Hands-on Machine Learning and AI development experience - building, training, and deploying prediction models (supervised, unsupervised, time-series) in production
• Solid grounding in statistics - distributions, hypothesis testing, regression, correlation analysis
• Ability to generate data-driven insights from messy operational data — logs, metrics, traces, ticketing data and turn noise into signal
• Hands-on GenAI and LLM engineering - RAG, prompt engineering, embeddings, vector stores, evaluation
• Demonstrable agentic AI workflow experience - multi-step orchestration, tool/function calling, agent design patterns, guardrails
• Strong Python - clean, production-grade code; APIs, microservices, async, testing
• Cloud-native engineering - AWS, Azure, or GCP; Docker, Kubernetes, CI/CD
• Systems thinking -  you design workflows and feedback loops, not just models or prompts

Strongly Preferred

• Exposure to AIOps, SRE, or production support environments
• Experience with observability stacks - Prometheus, Grafana, ELK, Datadog, Splunk, or similar
• Experience with incident and ticketing systems -  ServiceNow, Jira or equivalent
• Familiarity with ML/AI frameworks — scikit-learn, PyTorch/TensorFlow, LangChain, LlamaIndex, LangGraph, or comparable
• Experience deploying AI systems with evaluation, drift detection, and human-in-the-loop patterns

Good to Have 

• Exposure to SAP HANA, SAP Basis, or other enterprise database systems
• Familiarity with SAP BTP - AI Core, Generative AI Hub, AI Launchpad, workflow services
• Awareness of ITIL processes - Incident, Problem, Alert, Change Management
• Experience with SAP FRUN, Solution Manager, or SAP Analytics Cloud

Education
Bachelor’s or Master’s in Computer Science, Engineering, Statistics, Applied Mathematics, or a related field.

Where You Belong

SAP Global Cloud Operations is part of the SAP Product Engineering board area in SAP. Global Cloud Operations is a business unit focusing on delivery of managed private cloud services. To provide our customers with the right level of service, we have Technical and customer facing roles within the unit along with technical delivery.

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: 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.
Successful candidates might be required to undergo a background verification with an external vendor.

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.
Requisition ID: 452620  | Work Area: Information Technology  | Expected Travel: 0 - 10%  | Career Status: Professional  | Employment Type: Regular Full Time   | Additional Locations:  #LI-Hybrid