Infrastructure architect

Job Title: Infrastructure Architect – Private AI & Gen AI Solutions Job Summary: The Infrastructure Architect will be responsible for designing and implementing on-premises infrastructure solutions to support Private AI and Generative AI (Gen AI) initiatives. This role involves leading technical discussions, defining architecture, and delivering secure, scalable, and high-performance AI platforms leveraging VMware Cloud Foundation technologies. The ideal candidate will have deep expertise in VMware solutions, AI/ML frameworks, and enterprise infrastructure design. Key Responsibilities: Infrastructure & Architecture Architect, design, and implement on-premises infrastructure solutions for Private AI and Gen AI workloads. Lead technical discussions with stakeholders to gather requirements and define AI/Gen AI platform architecture. Develop end-to-end solutions using VMware Cloud Foundation (VCF) technologies, including v Sphere, v SAN, NSX, and v Realize 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 Gen AI solutions. Stay current with technology trends in Private AI, VMware, on-premises cloud, and data center innovations. Governance & Leadership Mentor technical and solution architects, fostering continuous learning and knowledge upgradation. Perform engagement-level delivery governance and ensure adherence to project timelines and quality standards. Participate in RFP/RFI processes, due diligence, and pre-sales support; oversee Proof of Concepts (POCs). Provide solutions for IT optimization, business-aligned IT, enterprise architecture, and transformation roadmaps. Support business/product acquisition, mergers, and Application Portfolio Optimization (APO). Additional Requirements: VMware certifications (e.g., VCAP or equivalent). Pre-sales experience in infrastructure solutions (preferred). Hands-on experience with AI/ML frameworks and tools (Tensor Flow, Py Torch, 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.