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SAP Fioneer

AI Platform Engineer (m/f/d)

Germany
Salary
Not stated
Level
Mid
Work type
Remote · Germany only
Visa
Not stated

Open. First seen 7 October 2026.

What this role asks for

Particular to this role

Generative AI · Grafana · LLM · OpenTelemetry · Prometheus · RAG

Rare in SAP Fioneer's other 47 open postings.

Standard for DevOps / SRE / cloud roles

Azure · CI/CD · Docker · Kubernetes · Python

Common in DevOps / SRE / cloud postings at any company.

Read against SAP Fioneer's other open postings on this site.

The team: Banking HIRES STEADILY

This role is one of 20 open in Banking. 5 were posted in the last 30 days and the oldest in November: a team that hires all year rather than one being built.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

SAP (20 of 20), Agile (10 of 20), CI/CD (7 of 20), REST (7 of 20), Azure (5 of 20), Java (4 of 20), AWS (3 of 20)

OTHER ROLES ON THIS TEAM

From the team and dates on SAP Fioneer's own job board.

About the role

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.

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