Senior AI Systems Engineer

We help the world run better
At SAP we keep it simple: you bring your best to us and well bring out the best in you. Were builders touching over 20 industries and 80% of global commerce and we need your unique talents to help shape whats next. The work is challenging but it matters. Youll find a place where you can be yourself prioritize your wellbeing and truly belong. Whats 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 LearningAI DevelopmentStatisticsData-Driven InsightsPrediction ModelsGenerative AIAgentic AIPythonCloud-Native Engineering

What youll build

• Prediction and anomaly-detection models
• Agentic workflowsspanning Detection - Triage - RCA - Recommendation - Action with human-in-the-loop guardrails
• RAG-based retrieval systemsover runbooks historical incidents knowledge bases and resolution patterns
• Production AI services and APIsdeployed on cloud infrastructure with observability evaluation and drift monitoring built in
• Data pipelinesthat turn noisy unstructured operational signal into structured model-ready features

What you bring

Must Have

• 4-11yearsof 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 insightsfrom 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
Bachelors or Masters 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
SAPs 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:

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