AI Platform Engineer (m/f/d)
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 10d ago
The date the source published, not the day we noticed it (2026-09-22). Last seen at its source 1h ago.
We have tracked this listing since 22 Sep 2026 (9 days). The employer's own board has carried it every time we have read it, most recently 1 hour ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Germany, Austria, Serbia, Romania
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay €96.3k–135.9k/yr
Middle 50% of 28 listings that do state pay — Engineering · all levels · Germany · EUR/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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workable employer's own board first seen 9d ago · last seen 1h ago
The listing
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.
Requirements
- 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.
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.