AI Enterprise Architect, Networking & Storage Integration

This is a remote position and can be based anywhere in the United States.

Lenovo Infrastructure Solutions Group (ISG) is seeking an innovative and experienced AI Enterprise Architect with a strong focus on NVIDIA networking and Lenovo storage integration. This role will spearhead the development and optimization of next-generation AI infrastructure by seamlessly integrating advanced networking and storage solutions with AI and ML platforms. The ideal candidate will have deep expertise in high-performance networking, storage architectures, and AI workload requirements.

Key Responsibilities:

• Define and implement enterprise networking and storage strategies tailored for AI/ML workloads.

• Align architectural designs with Lenovo ISG's broader technology and business objectives, ensuring scalability, performance, and cost-efficiency.

• Architect and deploy high-performance networking solutions, leveraging NVIDIA networking technologies such as InfiniBand, GPUDirect RDMA, and Spectrum switches.

• Design and optimize low-latency, high-bandwidth networks to support distributed AI training and inference workloads.

• Collaborate with NVIDIA to evaluate and integrate cutting-edge networking features that enhance AI workload performance.

• Develop scalable, high-performance storage solutions provided by Lenovo, optimized for AI data pipelines, including training datasets and real-time inference requirements.

• Leverage Lenovo's innovative storage architectures to enhance data throughput, reliability, and scalability.

• Ensure seamless integration of Lenovo storage systems with AI/ML workflows, supporting multi-cloud and hybrid environments.

• Evaluate emerging technologies in networking and storage for AI, including NVMe-over-Fabrics, advanced caching mechanisms, and edge-to-core data movement strategies.

• Work closely with technology partners, including NVIDIA for networking and Lenovo storage teams, to adopt state-of-the-art solutions and align with industry best practices.

• Collaborate with data science, IT, and engineering teams to design end-to-end AI/ML pipelines with optimized networking and storage components.

• Provide architectural guidance on workload placement, data locality, and resource allocation.

• Establish standards and best practices for networking and storage in AI environments, ensuring security, reliability, and compliance.

• Monitor and optimize resource usage, ensuring cost-effective deployment.

• Serve as a thought leader within Lenovo ISG, advocating for advanced NVIDIA networking and Lenovo storage technologies in AI initiatives.

• Lead internal initiatives on integrating NVIDIA networking and Lenovo storage solutions into AI workloads.

Basic Qualifications:

• Bachelor's degree in Computer Science, Electrical Engineering, or related field.

• At least 8 years in enterprise architecture, networking, or storage solutions.

• Prior experience in integrating NVIDIA networking technologies and Lenovo storage solutions with AI/ML platforms is highly preferred.

• Proven experience in designing and implementing networking and storage solutions for AI/ML environments.

• Deep knowledge of NVIDIA networking technologies, including InfiniBand, GPUDirect RDMA, and Magnum IO.

• Expertise in storage architectures such as NVMe, object storage, and distributed file systems.

• Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) and data orchestration platforms.