Lead Solutions Architect – AI Infrastructure & Private Cloud

Job Description :

We are seeking an experienced

Lead Solutions Architect 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 HPE's 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 :

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.

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.

Opportunity assessment :

Lead technical responses to RFPs, RFIs, and customer inquiries, ensuring alignment with business and technical requirements.

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.

Customer-centric mindset :

Act as a trusted advisor to enterprise customers, ensuring alignment of AI solutions with business goals.

6.

Team Collaboration :

Collaborate with cross-functional teams, including subject matter experts in infrastructure components-such as HPE servers, storage, networking-and data science teams to ensure cohesive and integrated solution delivery.

Mentor technical consultants and contribute to internal knowledge sharing through tech talks and innovation forums.

Required Skills :

1. HPC & AI Infrastructure

Extensive knowledge of HPC technologies and workload scheduler such as Slurm and / or Altair PBS Pro,

Proficient in HPC cluster management tools, including HPE Cluster Management (HPCM) and / or NVIDIA Base Command Manager.

Experience with HPC cluster managers like HPE Cluster Management (HPCM) and / or NVIDIA Base Command Manager.

Good understanding with high-speed networking stacks (InfiniBand, Mellanox) and performance tuning of HPC components.

Solid grasp of high-speed networking technologies, such as InfiniBand and Ethernet.

2. Containerization & Orchestration

Extensive hands-on experience with containerization technologies such as Docker, Podman, and Singularity

Proficiency with at least two container orchestration platforms : CNCF Kubernetes, Red Hat OpenShift, SUSE Rancher (RKE / K3S), Canonical Charmed Kubernetes.

Strong understanding of GPU technologies, including the NVIDIA GPU Operator for Kubernetes-based environments and DCGM (Data Center GPU Manager) for GPU health and performance monitoring.

3.Operating Systems & Virtualization

Extensive experience in Linux system administration, including package management, boot process troubleshooting, performance tuning, and network configuration.