Infrastructure Architect

Role Overview: As an Infrastructure Architect for Private AI and GenAI Solutions, you will be responsible for designing and implementing on-premises infrastructure solutions to support AI initiatives. Your role will involve leading technical discussions, defining architecture, and delivering secure, scalable, and high-performance AI platforms utilizing VMware Cloud Foundation technologies. Your deep expertise in VMware solutions, AI/ML frameworks, and enterprise infrastructure design will be crucial for this role. Key Responsibilities: - Architect, design, and implement on-premises infrastructure solutions for Private AI and GenAI workloads. - Lead technical discussions with stakeholders to gather requirements and define AI/GenAI platform architecture. - Develop end-to-end solutions using VMware Cloud Foundation (VCF) technologies, including vSphere, vSAN, NSX, and vRealize Suite. - Provide detailed infrastructure designs covering compute, storage, networking, and security components tailored for AI workloads. - Integrate Private AI solutions into existing enterprise environments ensuring security, scalability, and performance optimization. - Collaborate with internal teams, clients, and vendors to ensure successful delivery of AI infrastructure projects. - Develop best practices, reference architectures, and deployment guides for AI and GenAI solutions. - Stay current with technology trends in Private AI, VMware, on-premises cloud, and data center innovations. Qualifications Required: - VMware certifications (e.g., VCAP or equivalent). - Pre-sales experience in infrastructure solutions (preferred). - Hands-on experience with AI/ML frameworks and tools (TensorFlow, PyTorch, Nvidia Triton). - Familiarity with security and compliance requirements for Private AI environments. - Experience with hardware acceleration technologies (GPUs, DPUs). - Exposure to multi-tenant environments and service provider models.,