AI Platform Engineer (m/f/d)

SAP Fioneer GmbH; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Pension

Health & wellbeing support

Bike leasing

Transportation allowance

Meal programs

Relocation reimbursement

Celebration rewards

Jubilee recognition

Job summary

SAP Fioneer is seeking an AI Platform Engineer to design, build, and operate the cloud platform and infrastructure for its Generative AI initiative in Banking. You will work with AI Engineers and Software Developers to deploy secure, scalable AI solutions into production.

Key responsibilities include containerized deployments with Docker/Kubernetes, CI/CD pipelines, and infrastructure-as-code, while ensuring security, observability, and reliability across multi-tenant environments.

Qualifications

• Degree in Informatics, Mathematics, Computer Science, Physics, or Engineering.
• 2-3 years of experience in Platform Engineering, DevOps, or Cloud Engineering.
• Hands-on experience 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 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.

Responsibilities

• Design, build, and operate the infrastructure and platform capabilities for enterprise-grade AI solutions.
• Develop and maintain containerized applications and deployment environments with Docker and Kubernetes.
• Drive production readiness across security, scalability, reliability, observability, and operational excellence.
• Design and implement multi-tenant architectures with 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 to application development focusing on platform capabilities, integrations, tooling, and infra-related code.
• Support architecture decisions related to cloud infrastructure, security, operations, and maintainability.
• Drive platform standardization, automation, and operational best practices across AI solutions.

Skills

Kubernetes

Docker

Container orchestration

CI/CD

Infrastructure as Code

Automation frameworks

Langfuse

OpenTelemetry

Grafana

Prometheus

Azure Monitor

Cloud security

Identity management

Multi-tenant architectures

Python

AI platforms

Education

Degree in Informatics/Math/CS/Physics/Engineering

Tools

CI/CD tools

IaC frameworks

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, Engineeringand interest in the area offinancial 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.