Senior AI Engineer

Join to apply for the Senior AI Engineer role at SAP. This is a hybrid role based out of Monterrey. Hybrid is 3 days a week onsite, 2 days a week remote. Global Cloud Infrastructure & Delivery (GCID) develops and delivers services for cloud infrastructure and cloud operations to SAP Lines of Business (LoB). We support LoBs and their customers’ cloud adoption journey through four hyperscaler public clouds and SAP's Infrastructure-as-a-Service. Cloud Observability (CO) is the foundation for cloud operations. It delivers critical capabilities for infrastructure and application operation and security management by providing a fully integrated end‑to‑end observability product across our different Lines of Business. About The Role You will join a global & multidisciplinary team of AI Engineers, contributing to the development of AI solutions that power a stack of observability services using Machine Learning and Large Language Models. This role involves reshaping how we manage alerts, metrics, and logs by introducing deep learning and NLP to enhance observability services. You will be fully responsible for the end‑to‑end lifecycle of the services developed, ensuring excellence in triage and resolution. The goal is to reduce critical KPIs around incidents caused by Global Infrastructure Failures and to improve the signal‑to‑noise ratio of our observability metrics. Responsibilities Collaborate with engineering and product management following Agile Methodologies such as SCRUM. Prioritize and deliver high‑quality developments under time constraints. Ensure smooth operations and maximize uptime of the services. Participate in on‑call rotational coverage, including weekends and holidays. Share knowledge across the team. Work on data analysis and generation. Support AI research & development projects. Develop agents and fine‑tune AI models for observability. Required Skills Fast adoption of cutting‑edge technologies. Advanced analytical and problem‑solving mindset. Strong team player with excellent communication skills. Self‑starter who acts with a sense of urgency to move issues forward efficiently. Fluent in spoken & written English. Required Experience Development 5+ years of professional development and/or educational equivalence. Strong in Python & JavaScript as programming languages. Solid in REST API using Flask or FastAPI or equivalent. DevOps Solid understanding of CI/CD pipelines. Hands‑on practice with Docker containers & Kubernetes. Work with public cloud environments such as GCP/AWS/Azure. Familiarity with JSON, YAML, & GitHub. Practical experience in monitoring and performance management tools. Artificial Intelligence Knowledgeable in at least one ML framework like PyTorch, TensorFlow, or similar. Demonstrated practice with Large Language Models, Embeddings, and GenAI. Good understanding of supervised/unsupervised machine learning models. Solid understanding of data structures & data patterns. Education Bachelor's or equivalent education in Software Engineering, Computer Science, or a related field. Preferred Experience Elasticsearch, Splunk, or similar. Some experience in web development frameworks. Terraform, HelmChart, Ansible, or similar tools. Kubeflow, MLFlow, Dataflow, or similar technologies. Understanding of Enterprise/Service Provider Data Center Architecture. Inclusion & EEO Statement 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. Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, and related conditions), 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. #J-18808-Ljbffr