Solution Architect AI infrastructure & Private Cloud

• Job Title Solution Architect AI infrastructure & Private Cloud
• Job Description:
• We are seeking an experienced Solution Architect AI infrastructure & Private Cloud with deep expertise
• in AI/ML infrastructure, High Performance Computing (HPC), and container platforms to join our
• dynamic team focused on delivering HPE Private Cloud AI and Enterprise AI Factory Solutions. This
• role is instrumental in architecting, deploying, and optimizing private cloud environments that
• leverage HPEs co-developed solutions with NVIDIA, as well as validated HPE reference architectures,
• to support enterprise-grade AI workloads at scale.
• The ideal candidate will bring strong technical expertise in AI infrastructure, container orchestration
• platforms, and hybrid cloud environments, and will play a key role in delivering scalable, secure, and
• high-performance AI platform solutions powered by HPE GreenLake and NVIDIA AI Enterprise
• technologies.
• Key Responsibilities:
• 1.Leadership and Strategy:
• Provide delivery assurance and serve as the lead design authority to ensure seamless
• execution of Enterprise grade container platform including Red Hat OpenShift and
• SUSE Rancher, HPE Private Cloud AI and HPC/AI solutions, fully aligned with
• customer AI/ML strategies and business objectives.
• Align solution architecture with NVIDIA Enterprise AI Factory design principles,
• including modular scalability, GPU optimization, and hybrid cloud orchestration.
• Oversee planning, risk management, and stakeholder alignment throughout the
• project lifecycle to ensure successful outcomes.
• 2.Solution Planning and Design:
• Architect and optimize end-to-end solutions across container orchestration and HPC
• workload management domains, leveraging platforms such as Red Hat OpenShift,
• SUSE Rancher, and/or workload schedulers like Slurm and Altair PBS Pro.
• Ensure seamless integration of container and AI platforms with the broader software
• ecosystem, including NVIDIA AI Enterprise, as well as open-source DevOps, AI/ML
• tools, and frameworks.
• 3.Opportunity assessment:
• Lead technical responses to RFPs, RFIs, and customer inquiries, ensuring alignment
• with business and technical requirements.
• Conduct proof-of-concept (PoC) engagements to validate solution feasibility,
• performance, and integration within customer environments.
• Assess customer infrastructure and workloads to recommend optimal configurations
• using validated reference architectures from HPE and strategic partners such as Red
• Hat, NVIDIA, SUSE, along with components from the open-source ecosystem.
• 4.Innovation and Research:
• Stay current with emerging technologies, industry trends, and best practices across
• HPC, Kubernetes, container platforms, hybrid cloud, and security to inform solution
• design and innovation.
• 5.Customer-centric mindset:
• Act as a trusted advisor to enterprise customers, ensuring alignment of AI solutions
• with business goals.
• Location : Pune / Bangalore

Experience : 8+ Years