Experienced AI/ML-Ops Engineer for the foundational architecture of our AI Platform (m/f/d)

Your Tasks

• AI Platform Engineering: Architect and maintain a centralized AI platform using Vertex AI, GKE, and BigQuery, ensuring it serves as a robust foundation for company-wide AI initiatives


• Automated Guardrails & Governance: Design and implement automated safety layers (guardrails) to ensure LLM security, data privacy, and compliance with the EU AI Act


• Self-Service Tooling: Build and maintain agentic tooling frameworks and "golden paths" that allow internal tech teams to deploy AI agents and RAG systems independently


• AI / ML-Ops & CI/CD Pipelines: Develop end-to-end automated pipelines (CI/CD/CT) for model training, testing, deployment, and versioning of AI agents


• Monitoring & Anomaly Detection: Implement advanced observability solutions to monitor model performance, detect drift, and identify system anomalies in real-time


• Internal Tech Consulting: Act as a technical subject matter expert, advising product and engineering teams on how to architect, integrate, and scale AI solutions within the platform ecosystem

Your Profile

• Experience: 3-5+ years in Software Engineering or DevOps, with a clear specialization in ML/AI Ops and cloud-scale infrastructure


• GCP Expertise: Deep hands-on experience with Google Cloud Platform, specifically Vertex AI (Model Registry, Pipelines, Model Monitoring) and BigQuery


• Technical Stack: Strong proficiency in Python and Infrastructure-as-Code (e.g., Terraform). Experience with Kubernetes (GKE) and Docker


• Agentic AI Frameworks: Practical knowledge of frameworks like LangChain, LangGraph, Google Agent Development Kit (ADK), and an understanding of how to operationalize agentic workflows at scale


• Governance & Security: Familiarity with AI safety tools (e.g., NeMo Guardrails) and a mindset for building "secure by design" and compliant AI systems


• Analytical Mindset: Proven ability to build monitoring for non-deterministic systems, focusing on anomaly detection and performance metrics


• Communication: Excellent English skills with the ability to translate complex infrastructural requirements into clear documentation and guidance for other developers

About Us

MediaMarktSaturn Technology is working to make Europe’s number-one consumer electronics retailer the technology leader in its industry. To this end, several hundred developers, UX designers and system architects using state-of-the-art technology work hand in hand with business owners in agile teams to develop customer-focused technology solutions for more than 6 million customers every day in 11 countries.

Design and drive force behind our AI Enabler Platform. Instead of building isolated AI applications, design a scalable, secure, and high-performance ecosystem based on Google Cloud Platform (GCP). The goal is to democratize AI development across MediaMarktSaturn’s 11 European markets by providing robust pipelines, automated guardrails, and self-service agentic tooling that empower our product teams to build and scale their own AI solutions safely.

Our best solutions arise when diverse perspectives come together. Diversity is key to achieving our vision of becoming the Experience Champion in Consumer Electronics. We value diversity, promote equal opportunities, and foster inclusion – join our team!

Additional Benefits

Job Infos

​Location: Ingolstadt, München, München

MediaMarktSaturn Technology

Department: HQ - IT

Entrylevel: Professional Level

Type of Employement: Full Time

Working Hours: 37,5

Persona: Job Requisition Tech Employee

Recruiter: Laura Schröder 

Recruiter: Laura Schröder