Solution Architect-AI Infrastructure Cloud

Eximietas Design; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Eximietas Design in Bengaluru is seeking a seasoned Solution Architect for AI infrastructure in private cloud environments. You will architect, deploy, and optimize enterprise AI platforms using private cloud tools and GPU-accelerated workloads.

The role emphasizes leadership in architecture, delivery governance, and collaboration with DevOps, MLOps, and data science teams. Remote-hybrid collaboration may be considered for the right candidate.

Qualifications

• Experience with HPC technologies, Slurm/PBS Pro, HPCM, and NVIDIA Base Command.
• Knowledge of GPU technologies, InfiniBand, Mellanox, and AI infrastructure optimization.
• Strong Linux administration across RHEL/Ubuntu.
• Experience with hybrid cloud, CI/CD, IaC, and MLOps.
• DNS, TCP/IP, routing, load balancing, S3, NFS, and SMB/CIFS.
• Strong communication, problem solving and stakeholder management.

Responsibilities

• Lead architecture and delivery of AI/ML and HPC platform solutions.
• Ensure scalable, secure, and high-performance AI infrastructure.
• Manage stakeholder communication, project risks, and delivery governance.

Skills

HPC AI Infra

Container Orchestration

Linux Virtualization

Cloud DevOps MLOps

Networking Automation

Soft Skills

Education

Bachelor's or Master's in CS/IT

Job description

Job Summary

Digital Intelligence Engineering / 10-15+ Years

Solution Architect-AI Infrastructure Private Cloud

Bengaluru

Job Description:

We are looking for an experienced Solution Architect AI Infrastructure Private Cloud with expertise in AI/ML infrastructure, HPC, Kubernetes, and hybrid cloud platforms. The role involves architecting, deploying, and optimizing enterprise AI platforms using HPE Private Cloud AI, HPE GreenLake, and NVIDIA AI Enterprise solutions.

The ideal candidate should have strong experience in AI infrastructure, container orchestration, automation, and enterprise-scale private cloud environments.

Responsibilities

• Leadership Strategy
  
  
  
  • Lead architecture and delivery of AI/ML and HPC platform solutions aligned with customer
  
  
  • Ensure scalable, secure, and high-performance AI infrastructure
  
  
  • Manage stakeholder communication, project risks, and delivery goverce.
  
  
  
  


• Solution Design Delivery
  
  
  
  • Design and optimize solutions using Kubernetes platforms such as OpenShift, Rancher, and HPC schedulers like Slurm/PBS
  
  
  • Integrate AI platforms with NVIDIA AI Enterprise, DevOps, and MLOps
  
  
  • Support hybrid cloud and GPU-accelerated workloads.
  
  
  
  


• Opportunity Assessment
  
  
  
  • Lead technical discussions for RFPs, RFIs, PoCs, and customer solution
  
  
  • Assess customer environments and recommend suitable HPE and partner reference architectures.
  
  
  
  


• Innovation Collaboration
  
  
  
  • Stay updated with emerging technologies across AI/ML, HPC, Kubernetes, and cloud-native
  
  
  • Collaborate with infrastructure, networking, storage, and data science
  
  
  • Mentor technical teams and support knowledge-sharing initiatives.
  
  
  
  

Required Skills

• HPC AI Infrastructure
  
  
  
  • Experience with HPC technologies, Slurm/PBS Pro, HPCM, and NVIDIA Base Command
  
  
  • Knowledge of GPU technologies, InfiniBand, Mellanox, and AI infrastructure optimization.
  
  
  
  


• Containerization Orchestration
  
  
  
  • Strong experience with Docker, Podman, Singularity, Kubernetes, OpenShift, Rancher, and
  
  
  • Experience with NVIDIA GPU Operator and DCGM.
  
  
  
  


• Linux Virtualization
  
  
  
  • Strong Linux administration skills across RHEL, Ubuntu, and
  
  
  • Experience with KVM and OpenShift Virtualization.
  
  
  
  


• Cloud, DevOps MLOps
  
  
  
  • Experience with hybrid cloud environments, CI/CD, IaC, and MLOps
  
  
  • Knowledge of observability, security, and compliance frameworks.
  
  
  
  


• Networking Automation
  
  
  
  • Strong understanding of DNS, TCP/IP, routing, load balancing, S3, NFS, and SMB/CIFS.
  
  
  • Proficiency in Python and Bash scripting for infrastructure automation.
  
  
  
  


• Soft Skills
  
  
  
  • Strong communication, problem-solving, and stakeholder management
  
  
  • Ability to lead enterprise-scale technical projects end-to-end.
  
  
  
  

Qualifications

• Bachelors or Masters degree in Computer Science, IT, or related


• 10-15 years of experience in AI/ML, HPC, Kubernetes, and private/hybrid cloud


• Certifications such as RHCSA, RHCE, CKA, CKAD, CKS, or NVIDIA AI certifications are preferred.