Solution Architect AI infrastructure & Private Cloud

Job Title – Solution Architect AI infrastructure & Private Cloud\n\nJob Description:\nWe are seeking an experienced Solution Architect AI infrastructure & Private Cloud with deep expertise\nin AI/ML infrastructure, High Performance Computing (HPC), and container platforms to join our\ndynamic team focused on delivering HPE Private Cloud AI and Enterprise AI Factory Solutions. This\nrole is instrumental in architecting, deploying, and optimizing private cloud environments that\nleverage HPE’s co-developed solutions with NVIDIA, as well as validated HPE reference architectures,\nto support enterprise-grade AI workloads at scale.\n\nThe ideal candidate will bring strong technical expertise in AI infrastructure, container orchestration\nplatforms, and hybrid cloud environments, and will play a key role in delivering scalable, secure, and\nhigh-performance AI platform solutions powered by HPE GreenLake and NVIDIA AI Enterprise\ntechnologies.\n\nKey Responsibilities:\n1.Leadership and Strategy:\n"19;Provide delivery assurance and serve as the lead design authority to ensure seamless\nexecution of Enterprise grade container platform —including Red Hat OpenShift and\nSUSE Rancher, HPE Private Cloud AI and HPC/AI solutions, fully aligned with\ncustomer AI/ML strategies and business objectives.\n"19;Align solution architecture with NVIDIA Enterprise AI Factory design principles,\nincluding modular scalability, GPU optimization, and hybrid cloud orchestration.\n"19;Oversee planning, risk management, and stakeholder alignment throughout the\nproject lifecycle to ensure successful outcomes.\n2.Solution Planning and Design:\n"19;Architect and optimize end-to-end solutions across container orchestration and HPC\nworkload management domains, leveraging platforms such as Red Hat OpenShift,\nSUSE Rancher, and/or workload schedulers like Slurm and Altair PBS Pro.\n"19;Ensure seamless integration of container and AI platforms with the broader software\necosystem, including NVIDIA AI Enterprise, as well as open-source DevOps, AI/ML\ntools, and frameworks.\n3.Opportunity assessment:\n"19;Lead technical responses to RFPs, RFIs, and customer inquiries, ensuring alignment\nwith business and technical requirements.\n"19;Conduct proof-of-concept (PoC) engagements to validate solution feasibility,\nperformance, and integration within customer environments.\n"19;Assess customer infrastructure and workloads to recommend optimal configurations\nusing validated reference architectures from HPE and strategic partners such as Red\nHat, NVIDIA, SUSE, along with components from the open-source ecosystem.\n4.Innovation and Research:\n"19;Stay current with emerging technologies, industry trends, and best practices across\nHPC, Kubernetes, container platforms, hybrid cloud, and security to inform solution\ndesign and innovation.\n5.Customer-centric mindset:\n"19;Act as a trusted advisor to enterprise customers, ensuring alignment of AI solutions\nwith business goals.\n\nLocation : Pune / Bangalore\n\nExperience : 8+ Years