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

Zürcher Kantonalbank

Employment type
Full-time
Workload
80–100%
Location
Zürich
Languages
German, German
First posted
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80% - 100% | IT / Business Engineering | Zürich | Experienced professionals

In our IT, we develop the technology of tomorrow with over 1'000 colleagues - in the heart of Zürich. Together with you, we want to celebrate successes and live our values: act courageously, contribute ideas, deliver with an eye for the big picture, and live your enthusiasm.

Help shape the future of our digital, AI-native solutions. Become part of a team with the vision of combining modern cloud and AI technologies - especially LLMs, agentic workflows, and AI-supported developer tools - into a powerful, scalable platform. Does this speak to you? Then you are perfect for our interdisciplinary team, because we are looking for you as an AI Solution Engineer / AI Engineer with a strong, agile mindset.

We look forward to your application.

Your tasks

  • Take end-to-end responsibility from conception and solution architecture to the implementation of AI-native solutions for software development
  • Analyze requirements of 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 connection to 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 dev processes
  • Collaborate on 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 using AI in cooperation with architecture and security
  • Collaborate on the automation of build, test, and deployment processes in our CI/CD pipelines, including AI-supported DevOps workflows and close cooperation with Product Owners, Business Engineers, and architects to develop optimal, AI-driven solutions

Your profile

  • Completed studies 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)
  • Sound experience in software development (demonstrable programming languages, flexible technology stack)
  • 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 architecture patterns (e.g., Microservices, Event-Driven, API-First) is an advantage, ideally combined with AI integrations
  • Analytical, structured, and at the same time pragmatic way of working as well as communicative and team-oriented nature
  • Very good German and good English skills

Our offer

  • Motivated, self-organized, and cheerful team that is looking forward to you and your AI expertise
  • End-to-end responsibility from the idea to productive operation in an innovative, AI-driven environment
  • The opportunity to help shape modern cloud and AI technologies (especially LLMs, Code-Assistants, Coding Harness/OpenCode) hands-on
  • Collegial and appreciative cooperation at eye level
  • Culture of continuous (further) development - personally, technically, and professionally, with a focus on AI skills
  • Centrally located, 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 accompany you specifically and support you with diverse training opportunities in the field of AI, Cloud, and modern software engineering practices

Your contact

Amir Reshef
looks forward to helping you.
Telephone: 044 292 27 39

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