Summary
✨ AI‑Generated
An AI Platform Engineer is sought to design, build, and operate the cloud infrastructure powering enterprise-grade AI applications. You will work with containerized environments, Kubernetes, secure multi-tenant architectures, monitoring, logging, tracing, and production-readiness practices. The role combines modern cloud-native engineering with the operational challenges of deploying secure and scalable generative AI solutions.
Highlights
Build and operate cloud-native platforms that enable secure, scalable, reliable enterprise AI applications. The role provides hands-on experience with modern infrastructure technologies, container orchestration, multi-tenant architecture, observability, and production readiness for generative AI workloads.
Description
As an AI Platform Engineer, you will join the team driving SAP Fioneer's Generative AI initiative within our Banking division.
Working closely with AI Engineers and Software Developers, you will design, build, and operate the cloud platform, infrastructure, and operational capabilities that power enterprise-grade AI solutions.
This role offers the opportunity to work with modern cloud-native technologies while contributing to the secure, scalable, and reliable deployment of AI applications into production.
Key Responsibilities
Design, build, and operate the infrastructure and platform capabilities required for enterprise-grade AI solutionsDevelop and maintain containerized applications and deployment environments using Docker and KubernetesDrive production readiness across security, scalability, reliability, observability, and operational excellenceDesign and implement multi-tenant architectures with strong isolation and governance conceptsEstablish monitoring, logging, tracing, alerting, and operational dashboardsBuild and maintain CI/CD pipelines, release processes, and Infrastructure-as-CodeDefine and implement security controls, secrets management, identity integration, and secure deployment practicesCollaborate with AI Engineers and Software Developers to transition AI solutions from prototype to productionContribute directly to application development with a focus on platform capabilities, integrations, operational tooling, and infrastructure-related codeSupport architecture decisions related to cloud infrastructure, security, operations, and maintainabilityDrive platform standardization, automation, and operational best practices across AI solutions
Requirements
Degree in (Business) Informatics, (Business) Mathematics, Computer Science, Physics, Engineering and interest in the area of financial services2-3 years of experience in Platform Engineering, DevOps, or Cloud EngineeringExperience operating production-grade cloud-native applicationsHands-on expertise with Kubernetes, Docker, and container orchestrationExperience with CI/CD, Infrastructure-as-Code, and automation frameworksKnowledge of observability platforms such as Langfuse, OpenTelemetry, Grafana, Prometheus, or Azure Monitor is considered an assetExperience with cloud security, identity management, and multi-tenant architecturesFamiliarity with Python and modern software development practicesUnderstanding of AI platforms, LLM applications, agent frameworks, or RAG systems is beneficialStrong troubleshooting and operational mindset
Benefits
We offer a comprehensive benefits package that includes occupational pension provisions, support for health and wellbeing, various mobility options like bike leasing and transportation allowances, as well as additional perks such as celebration rewards, meal programs, jubilee recognition, and relocation reimbursement.
