AI DevOps Solution Engineer / AI Engineer (m/f/d)

In our IT department, we develop the technology of tomorrow with over 1,000 colleagues – right in the heart of Zurich. Together with you, we want to celebrate successes and live our values: act boldly, contribute ideas, deliver with a holistic view, and live your enthusiasm.

Shape the future of our digital, AI-native solutions. Become part of a team with the vision to connect modern cloud and AI technologies – especially LLMs, agentic workflows, and AI-supported developer tools – into a powerful, scalable platform. Do you feel addressed? Then you are perfect for our interdisciplinary team, as we are looking for you as an AI Solution Engineer / AI Engineer with a strong, agile mindset.

We look forward to your application.

• Take end-to-end responsibility from conception through solution architecture to implementation of AI-native solutions for software development
• Analyse requirements from various IT stakeholders and translate them into viable, AI-supported technical solutions
• Design and build modern, cloud-based architectures (Azure) with a focus on AI workloads
• Implement and further develop AI capabilities and services including integration with AI/LLM services (e.g. Azure OpenAI)
• Build and/or integrate AI-native components (e.g. LLM-based services, code assistants, agentic workflows, coding harness / OpenCode) into existing systems and development processes
• Contribute to the design of prompting strategies, orchestration of AI skills, and integration of coding guidelines into AI-supported development tools
• Ensure security, compliance, and governance requirements when deploying AI in collaboration with architecture and security teams
• Contribute to the automation of build, test, and deployment processes in our CI/CD pipelines, including AI-supported DevOps workflows and close collaboration with product owners, business engineers, and architects to develop optimal, AI-driven solutions

• Completed degree in computer science or comparable professional experience
• Several years of experience as a solution engineer / software engineer with end-to-end responsibility (concept, architecture, implementation)
• Solid experience in software development (programming languages demonstrable, technology stack flexible)
• Experience with Azure Cloud (e.g. App Services, Functions, Kubernetes, Storage, Identity), ideally in the context of AI/ML workloads
• Initial practical experience or strong interest in AI-native applications (e.g. LLMs, prompting, retrieval-augmented generation, agentic systems)
• Interest or experience with AI-supported development tools and DevOps platforms (e.g. GitLab Duo, Azure DevOps, GitHub Copilot, Claude Code or similar)
• Experience with modern architectural patterns (e.g. microservices, event-driven, API-first) is an advantage, ideally combined with AI integrations
• Analytical, structured yet pragmatic working style as well as communicative and team-oriented manner
• Very good German and good English skills

• Motivated, self-organised, and cheerful team looking forward to your AI expertise
• End-to-end responsibility from idea to productive operation in an innovative, AI-driven environment
• The opportunity to actively shape modern cloud and AI technologies (especially LLMs, code assistants, coding harness/OpenCode)
• Collegial and appreciative collaboration at eye level
• Culture of continuous (further) development – personal, technical, and professional, with a focus on AI skills
• Central, easily accessible, and attractive workplace with the possibility of flexible, hybrid work
• Your career in the AI environment is important to us – we promote and support you specifically and assist you with diverse further training offers in AI, cloud, and modern software engineering practices