Why This Role Stands Out
This remote AI Platform Engineer role at SAP Fioneer offers a unique opportunity to shape the future of Generative AI within the banking sector, leveraging cutting-edge cloud-native technologies. You'll thrive here if you're a mid-senior engineer passionate about building secure, scalable AI platforms and driving innovation, with the chance to significantly impact enterprise-grade AI solutions. Apply to join a forward-thinking team and grow your expertise in a dynamic, high-growth area.
Quick Overview
Job 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 solutions.
- Develop and maintain containerized applications and deployment environments using Docker and Kubernetes.
- Drive production readiness across security, scalability, reliability, observability, and operational excellence.
- Design and implement multi-tenant architectures with strong isolation and governance concepts.
- Establish monitoring, logging, tracing, alerting, and operational dashboards.
- Build and maintain CI/CD pipelines, release processes, and Infrastructure-as-Code.
- Define and implement security controls, secrets management, identity integration, and secure deployment practices.
- Collaborate with AI Engineers and Software Developers to transition AI solutions from prototype to production.
- Contribute directly to application development with a focus on platform capabilities, integrations, operational tooling, and infrastructure-related code.
- Support architecture decisions related to cloud infrastructure, security, operations, and maintainability.
- Drive platform standardization, automation, and operational best practices across AI solutions.
- Degree in (Business) Informatics, (Business) Mathematics, Computer Science, Physics, Engineering and interest in the area of financial services.
- 2-3 years of experience in Platform Engineering, DevOps, or Cloud Engineering.
- Experience operating production-grade cloud-native applications.
- Hands-on expertise with Kubernetes, Docker, and container orchestration.
- Experience with CI/CD, Infrastructure-as-Code, and automation frameworks.
- Knowledge of observability platforms such as Langfuse, OpenTelemetry, Grafana, Prometheus, or Azure Monitor is considered an asset.
- Experience with cloud security, identity management, and multi-tenant architectures.
- Familiarity with Python and modern software development practices.
- Understanding of AI platforms, LLM applications, agent frameworks, or RAG systems is beneficial.
- Strong troubleshooting and operational mindset.
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.