The future of rail isn't just about movement, it's about intelligence, security, and connection. We unite rail expertise with digital innovation to create smarter, safer, and more sustainable transportation solutions. Technology here speaks with purpose: accelerating digitalization, embedding cybersecurity, and shaping the next era of rail.

Behind every breakthrough are people, their talent, creativity, and drive to push boundaries. Together, we're building confidence, resilience, and a new standard for connected mobility powered by innovation.

This position is for Stadler Digital Labs, a joint venture between Stadler Rail and Critical Software serving as the digital competence center for the Stadler Group.

Check-out the website:

Could you be the AI Engineer that we've been looking for?

Key Responsibilities

Build, deploy, and operate AI-related applications, platforms, services, and reusable technical components for Stadler’s future AI Center of Competence.
Support Stadler’s AI Strategy & Governance by translating technical, security, and compliance requirements into reliable solutions.
Develop and maintain AI DevOps standards, automation, deployment processes, and operational procedures for AI solutions.
Ensure operational excellence through monitoring, reliability, incident handling, lifecycle management, and continuous improvement.
Work closely with developers, platform teams, operations, cybersecurity, architecture, and business units to enable secure and scalable AI adoption.
Provide technical guidance to project teams and AI champions on how to build and operate AI solutions in a standardized and compliant way.
Build and maintain reusable AI platform components that project teams can consume as internal services.

Additional tasks

Support AI pilots, innovation activities, and experimentation environments from a technical and operational perspective.
Contribute to best practices, implementation standards, documentation, and knowledge sharing for AI solution development and operations.
Support evaluation and integration of approved AI tools, platforms, agents, and third-party services.
Participate in architecture, security, data protection, and operational readiness reviews for AI use cases.
Stay up to date with developments in AI engineering, DevOps, platform operations, cloud services, automation, and relevant regulatory requirements.

Which brings us to you, the person with:

Degree in Computer Science, Software Engineering, Information Technology, or comparable professional experience.
Experience in DevOps, platform engineering, software development, or IT operations.
Know-how in CI/CD, automation, monitoring, cloud platforms, and secure operations.
Hands-on expertise with Generative AI technologies, including LLMs, RAG pipelines, embeddings, vector databases, and agentic AI systems.
Experience integrating and operating AI platforms and models (proprietary and open-source LLMs) in production environments.
Practical experience with cloud platforms for deploying and operating AI workloads (APIs, containers, model serving).
Further training in Azure (preferred AI Foundry & Azure services), DevOps, cloud, cybersecurity, agile delivery, or AI-related topics is an advantage.
Willingness to continuously learn and develop in the areas of AI technologies, governance, automation, and operational excellence.
Strong engineering mindset with focus on reliability, automation, quality, and service orientation.
Structured troubleshooting skills and ability to turn requirements into practical technical solutions.
Good communication and collaboration skills in an international, cross-functional environment.
Fluent English;
German or further Stadler languages are an advantage.

What we provide:

Work that fits your life, not the other way around
Offices designed to make you feel like you belong
A team that knows how to work hard, but also how to have fun
Pay that makes you feel valued, plus performance-based rewards
Your growth is our priority: training, support, and opportunities!

Join us and help us to improve the efficiency and sustainability of rail mobility.

Location: Coimbra or Lisbon.

Ai Engineer

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