AI DevOps-Solution Engineer / AI Engineer (w/m/d)

Stellenbeschreibung

Join our innovative team in Zürich, driving the future of AI technology. Work in a collaborative environment that values bold ideas and excellence. Tasks Take end-to-end responsibility for AI-native solutions in software. Analyze IT stakeholder requirements and translate them into solutions. Design modern cloud architectures focused on AI workloads. Skills Degree in computer science or equivalent experience required. Strong experience with Azure Cloud and AI applications. Proficient in modern development practices and team collaboration. This job ad was AI-translated from German. See original About the job 80% - 100% | IT / Business Engineering | Zurich | Experienced Professionals 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. Your Responsibilities 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 Your Profile 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 Our Offer 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 Amir Reshef is happy to assist you. Phone: 044 292 27 39