Senior Solution Architect – AI Infrastructure & Private Cloud

Position: Senior  Solution Architect  – AI Infrastructure & Private Cloud
Location: Bengaluru

Job Title – 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  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 Green Lake 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 platforms —including Red Hat Open Shift 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 Open Shift, 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 Dev Ops, AI/ML tools, and frameworks.
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.
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.
Translate complex technical concepts into value propositions for stakeholders
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 (Infini Band, Mellanox) and performance tuning of HPC components.
Solid grasp of high-speed networking technologies, such as Infini Band 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 Open Shift, SUSE Rancher (RKE/K3S), Canonical Charmed Kubernetes.
Strong understanding…