> Markdown version of [/jobs/ext/2838770-senior-ai-systems-platform-engineer](https://www.wearedevelopers.com/jobs/ext/2838770-senior-ai-systems-platform-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI Systems & Platform Engineer - **Company:** KLA Corporation - **Location:** Dresden, Germany - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Application Integration Architecture, C++ (Programming Language), Computer Programming, Continuous Integration, Distributed Systems, Python (Programming Language), Open Source Technology, Software Systems, AI Infrastructure, Reinforcement Learning, High Performance Computing, Large Language Models, Multi-Agent Systems, AI Platforms, Information Technology, Machine Learning Operations, Data Pipelines - **Published:** September 11, 2026 - **Apply:** https://kla.wd1.myworkdayjobs.com/Search/job/DEU-Saxony-Dresden-City-Center/Senior-AI-Engineer_2635148 ## About the Role * University degree in Computer Science, Electrical Engineering, or a related field. * Strong experience in solution architecture and system design for production-grade software systems. * Expertise in deploying AI/ML systems in on-premise, air gapped, or otherwise restricted environments. * Hands-on experience with: - Model serving and inference systems (e.g. vLLM or similar). - Distributed systems, high-performance computing, or data-intensive platforms. - CI/CD and MLOps for offline or partially connected environments. * Ability to define and evaluate hardware requirements (GPU/CPU/memory/storage/networking) for AI workloads. * Strong programming skills (Python required; experience with systems-level languages such as C/C++ or Rust is a plus). * Fluent communication in English., * Experience building cloud-independent AI platforms or migrating workloads away from managed cloud services. * Familiarity with composing AI stacks from open-source components rather than relying on managed services. * Experience with agent-based systems, reinforcement learning, or LLM-based applications. * Understanding of semiconductor manufacturing processes and data pipelines. ## Description * Define end-to-end architecture for on-prem / air gapped AI platforms, including compute, storage, networking, and model serving layers. * Design and implement portable AI infrastructure using open-source components (model serving, orchestration, vector storage, pipelines). * Translate product requirements into scalable system architectures, including deployment topology and hardware sizing. * Establish security, isolation, and resilience patterns for AI workloads in restricted environments. * Own decisions on model hosting, orchestration, observability, and lifecycle management. AI Systems & Application Integration * Design and deploy agentic and multi-agent systems on top of production-grade infrastructure. * Integrate reasoning, planning, and learning capabilities into reliable, observable, and maintainable systems. * Collaborate with hardware, software, and data teams to ensure seamless deployment and usability in production environments. * Drive integration of AI systems into existing products and workflows in semiconductor manufacturing. Technology Leadership * Continuously evaluate and adapt emerging AI and infrastructure technologies for real-world industrial use cases. * Guide architectural decisions around AI infrastructure, model deployment, and system evolution. * Contribute to building internal standards and reusable components for AI engineering across the division. ## Related Videos - [This App Reached 10,000 Users in One Week. Here's How.](https://www.wearedevelopers.com/videos/100329-this-app-reached-10-000-users-in-one-week-here-s-how) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [Rethinking Intelligence: AI, Accessibility, and the Future of Inclusive Work - Artur Ortega](https://www.wearedevelopers.com/videos/1377-rethinking-intelligence-ai-accessibility-and-the-future-of-inclusive-work-artur-ortega) - [DevOps for AI: running LLMs in production with Kubernetes and KubeFlow](https://www.wearedevelopers.com/videos/1222-devops-for-ai-running-llms-in-production-with-kubernetes-and-kubeflow) - [From AI Assistance to Agentic Systems: Scaling Sovereign AI in Banking](https://www.wearedevelopers.com/videos/100070-from-ai-assistance-to-agentic-systems-scaling-sovereign-ai-in-banking) - [Supercharge your cloud-native applications with Generative AI](https://www.wearedevelopers.com/videos/950-supercharge-your-cloud-native-applications-with-generative-ai) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud)