Nvidia AI Solution Architect m/f/d General Information Req WD00082803 Career area: Artificial Intelligence Country/Region: Germany City: Stuttgart Date: Thursday, August 28, 2025 Working time: Full-time Additional Locations : * Germany - Bavaria - Munich * Germany - Hesse - Frankfurt * Germany - Baden-Wu00fcrttemberg - Stuttgart * Germany - North Rhine-Westphalia - Essen * United Kingdom - Hampshire - Farnborough * Germany - Baden-Wu00fcrttemberg - Stuttgart * Germany - Hesse - Frankfurt am Main Why Work at Lenovo We are Lenovo. We do what we say. We own what we do. We WOW our customers. Lenovo is a US$69 billion revenue global technology powerhouse, ranked 196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the worldu2019s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovou2019s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY). This transformation together with Lenovou2019s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via ourStoryHub (https://news.lenovo.com/). Description and Requirements Lenovo is growing! We are looking for an AI Delivery Architect / Technical lead who can understand the AI solution requirements and support the full production environments for enterprise customers. In this position you will focus on the end-to-end deployment design, while working closely with customer c-suite team. You will create detailed deployment solution covering infra, software, tools, process, and procedures that include Nvidia AI Enterprise solutions on Lenovo hardware and ensuring seamless, scalable, and robust production implementations. Your work will help customers unlock the full potential of AI technologies by managing deployments that ensure AI adoption and optimization of AI models in real-world use cases. What You will be doing: Conduct performance benchmarking and inference tests; optimize AI models for accuracy, performance, scalability, and resource efficiency. Act as the SME and technical lead for AI POC deployments in enterprise environments with Nvidia GPUu2013powered solutions. Manage deployment of AI workloads using Nvidia AI Enterprise, PyTorch, and TensorFlow; ensure integration with customer infrastructure. Identify and mitigate risks such as hardware, network, or software issues; develop contingency plans. Provide transparent updates, manage scope changes, and address issues with stakeholders. Lead post-deployment handoff, train client/managed services teams on AI infrastructure operations, troubleshooting, scaling, and optimization. What You bring: Demonstrated success in leading and managing complex AI infrastructure projects, including PoC transitions to production at scale Experience in the area of Retrieval Augmented Generation (RAG), NVIDIA AI Enterprise, NVIDIA Inference Microservices (NIMs), NVIDIA NeMo framework, Model Management, Kubernetes Extensive experience with Nvidia AI Enterprise, GPU-accelerated workloads, and AI/ML frameworks such as PyTorch and TensorFlow. Proficient in deploying AI solutions across enterprise platforms, including VMware ESXi, Docker, Kubernetes, and Linux (Ubuntu/RHEL) and Windows Server environments. MLOps proficiency with hands-on experience using tools such as Kubeflow, MLflow, or AWS SageMaker for managing the AI model lifecycle in production. Strong understanding of virtualization and containerization technologies to ensure robust and scalable deployments. Fluent German What Lenovo can offer you: Employee Share Purchase Plan Employee Assistance Program, e.g., for health, legal & financial consultancy Internal E-learning Development Platform Available for Employees Specialized Development Trainings (based on nomination process) You can be a part of our Employees Groups (LGBT, WILL, etc.) Opportunity to Join/Create Employees Groups (inclusivity, well-being, sports, volunteering, charity, etc.) Job Rad (Bike Leasing) Want to know more ? Configure, install, and validate AI systems using key platforms, including: _At Lenovo, we are proud to be an equal opportunities company. Of course, this also applies to people with disabilities._ When applying for this position, please send your CV (including covering letter and references) via our Online-Tool. At Lenovo we are proud to be an equal opportunity company. This vacancy certainly applies for people with disabilities too. _We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class._ Additional Locations : * Germany - Bavaria - Munich * Germany - Hesse - Frankfurt * Germany - Baden-Wu00fcrttemberg - Stuttgart * Germany - North Rhine-Westphalia - Essen * United Kingdom - Hampshire - Farnborough * Germany - Baden-Wu00fcrttemberg - Stuttgart * Germany - Hesse - Frankfurt am Main * Germany, * United Kingdom * Germany - Baden-Wu00fcrttemberg, * Germany - Bavaria, * Germany - Hesse, * Germany - North Rhine-Westphalia, * United Kingdom - Hampshire * Germany - Bavaria - Munich, * Germany - Hesse - Frankfurt, * Germany - Baden-Wu00fcrttemberg - Stuttgart, * Germany - North Rhine-Westphalia - Essen, * United Kingdom - Hampshire - Farnborough, * Germany - Baden-Wu00fcrttemberg - Stuttgart, * Germany - Hesse - Frankfurt am Main AI PROCESSING NOTICE We use AI-based tools to support some of our processes (e.g. online interviews recordings and transcripts) in order to achieve better efficiency, accuracy and for our documentation purposes. 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