AI Engineer

Stadler Digital Labs; Coimbra; On-site; EUR 55,000 - 85,000; Full time

Benefits offered by this job

Growth opportunities

Performance-based rewards

Training & advancement

Job summary

Stadler Digital Labs, the digital competence center for the Stadler Group, is seeking an AI Engineer to build and operationalize AI platforms and services. You will work with cross-functional teams to translate security and compliance requirements into robust, scalable AI solutions.

Location options include Coimbra or Lisbon, with emphasis on continuous learning and collaboration in an international environment. Growth, training, and performance-based rewards are provided.

Qualifications

• Degree in Computer Science or a related field.
• Experience in DevOps, platform engineering, 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, and vector databases.
• Experience deploying AI platforms and models in production environments.
• Strong English; German or Stadler languages are a plus.

Responsibilities

• Build, deploy, and operate AI applications, platforms, services, and reusable components for Stadler’s AI Center of Competence.
• Support AI Strategy & Governance by translating technical requirements into reliable solutions.
• Develop and maintain AI DevOps standards, automation, and deployment processes.
• Ensure operational excellence through monitoring, reliability, and incident handling.
• Collaborate with cross-functional teams to enable secure and scalable AI adoption.
• Provide technical guidance to project teams on standardized, compliant AI solutions.
• Build and maintain reusable AI platform components for internal services.
• Support AI pilots, documentation, and knowledge sharing.

Skills

DevOps

Platform engineering

CI/CD

Automation

Cloud platforms

Secure operations

Generative AI

LLMs

RAG pipelines

Vector databases

Agentic AI

Fluent English

Education

Degree in CS

Tools

Azure AI Foundry

Azure

OpenAI

Kubernetes

Job description

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: https://stadlerdigitallabs.com

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.