Solution Architect – AI Infrastructure & Private Cloud

BayOne Solutions

Bengaluru

On-site

INR 1,500,000 - 2,000,000

Full time

14 days+

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Job summary

BayOne Solutions in Bengaluru, India is hiring a Solution Architect to design and deliver enterprise-scale AI, ML, and HPC solutions. The role involves leading architecture and optimizing private cloud environments for high-performance AI infrastructure.

The ideal candidate will have 8–10+ years of experience in AI/ML, proficiency in Kubernetes and Docker, and strong leadership skills. A degree in Computer Science or IT is required, along with relevant certifications.

Qualifications

  • 8–10+ years of experience in AI/ML infrastructure and hybrid cloud environments.
  • Strong experience with container platforms like Kubernetes and Docker.
  • Proven leadership, communication, and problem-solving skills.

Responsibilities

  • Lead architecture, design, and delivery of AI infrastructure solutions.
  • Optimize environments using Kubernetes and private cloud AI platforms.
  • Assess customer environments and support PoCs.

Skills

AI/ML infrastructure
HPC technologies
Kubernetes
OpenShift
Docker
Python
Bash scripting

Education

Bachelor’s or Master’s degree in Computer Science, IT, or related field
Preferred certifications: RHCSA/RHCE, CKA/CKAD/CKS

Tools

NVIDIA Base Command Manager
Slurm/PBS Pro

Job description

We are seeking an experienced Solution Architect to design and deliver enterprise-scale AI/ML, HPC, and container platform solutions. The role focuses on private cloud AI, NVIDIA Enterprise AI Factory, and hybrid cloud environments, enabling scalable, secure, and high-performance AI infrastructure.

Key Responsibilities
  • Lead architecture, design, and delivery of AI infrastructure, HPC, and container platform solutions.
  • Design and optimize environments using Kubernetes, OpenShift, Rancher, private cloud AI platforms, and NVIDIA AI Enterprise.
  • Assess customer environments, lead PoCs, and support RFP/RFI responses.
  • Develop scalable AI/ML platforms leveraging industry-leading technologies and open-source ecosystems.
  • Act as a trusted advisor, aligning technical solutions with customer business objectives.
  • Collaborate with cross-functional teams and mentor technical consultants.
Required Skills
  • 8–10+ years of experience in AI/ML infrastructure, HPC, container platforms, and hybrid/private cloud environments.
  • Expertise in HPC technologies, Slurm/PBS Pro, HPCM and/or NVIDIA Base Command Manager.
  • Strong experience with Kubernetes, OpenShift, Rancher, Docker, and GPU technologies (NVIDIA GPU Operator, DCGM).
  • Advanced Linux administration (RHEL, SLES, Ubuntu) and virtualization (KVM/OpenShift Virtualization).
  • Knowledge of hybrid cloud, DevOps/MLOps, CI/CD, IaC, observability, and security frameworks.
  • Strong understanding of networking (TCP/IP, DNS, routing, load balancing) and storage protocols (S3, NFS, SMB/CIFS).
  • Proficiency in Python and Bash scripting.
Qualifications
  • Bachelor’s or Master’s degree in Computer Science, IT, or a related field.
  • Preferred certifications: RHCSA/RHCE, CKA/CKAD/CKS, NVIDIA AI Infrastructure certifications.
  • Strong leadership, communication, stakeholder management, and problem-solving skills.
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