Lead Solutions Architect – AI Infrastructure

Cortex Consultants LLC

Bengaluru Urban

On-site

INR 1,800,000 - 2,400,000

Full time

14 days+
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Job summary

A leading technology consulting firm is seeking an experienced Lead Solutions Architect to design and deliver enterprise-scale AI infrastructure and private cloud platforms in Bangalore. This role demands expertise in HPC, Kubernetes, and hybrid cloud architecture. Candidates should have 8–10+ years of experience in AI platforms, container orchestration, and enterprise cloud solutions. Immediate joiners will be preferred for this opportunity to work on innovative AI infrastructure projects.

Qualifications

  • 8–10+ years of experience in AI platforms and enterprise cloud solutions.
  • Strong experience in container orchestration.
  • Background in hybrid cloud technologies.

Responsibilities

  • Design and deliver enterprise-scale AI infrastructure.
  • Build high-performance AI environments using HPC and Kubernetes.
  • Work on cutting-edge AI infrastructure projects.

Skills

AI/ML Infrastructure & High Performance Computing (HPC)
Kubernetes
Red Hat OpenShift
SUSE Rancher
NVIDIA AI Enterprise & GPU Platforms
Hybrid Cloud Architecture
DevOps/MLOps
Linux (RHEL / SLES / Ubuntu)
Containerization (Docker/Podman)

Job description

We are looking for an experienced Lead Solutions Architect to design and deliver enterprise-scale AI infrastructure and private cloud platforms. This role focuses on building high-performance AI environments using HPC, Kubernetes, and hybrid cloud technologies.

Role

Lead Solutions Architect – AI Infrastructure & Private Cloud

Location

Bangalore (5 Days WFO – Local Candidates Preferred)

Experience

8–10+ Years

Notice Period

Immediate / Serving Notice / Max 30 Days

Interview Process

1st Round – Virtual | 2nd Round – F2F

Client

MNC

Key Skills
  • AI/ML Infrastructure & High Performance Computing (HPC)
  • Kubernetes, Red Hat OpenShift, SUSE Rancher
  • NVIDIA AI Enterprise & GPU Platforms
  • Hybrid Cloud Architecture & DevOps/MLOps
  • Linux (RHEL / SLES / Ubuntu) & Containerization (Docker/Podman)

If you have strong experience in AI platforms, container orchestration, and enterprise cloud solutions, this is a great opportunity to work on cutting-edge AI infrastructure projects.

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