Nvidia AI Solution Architect m/f/d

Locations

• Germany - North Rhine-Westphalia - Essen


• United Kingdom - Hampshire - Farnborough


• Germany - Hesse - Frankfurt am Main


• Germany - Bavaria - Munich


• Germany - Baden-Württemberg - Stuttgart

Overview

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. This role focuses on the end-to-end deployment design and works closely with customer C-suite teams. You will create detailed deployment solutions covering infrastructure, software, tools, processes, and procedures that include Nvidia AI Enterprise solutions on Lenovo hardware, 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.

Responsibilities

• Conduct performance benchmarking and inference tests; optimize AI models for accuracy, performance, scalability, and resource efficiency.


• Act as the subject-matter expert and technical lead for AI POC deployments in enterprise environments with Nvidia GPU–powered 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 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 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)

Equal Opportunity: At Lenovo, we are proud to be an equal opportunities company. 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. This vacancy applies for people with disabilities too.

Additional Information

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. AI can make mistakes, but outputs are manually reviewed by a human. You can opt-out or contact us with any questions.

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