AI Infrastructure Architect

Job Title : Lead Solutions Architect – AI Infrastructure & Private Cloud

Location : Bengaluru (Electronic City)

Experience : 10–15 Years (Lead / Architect Level)

Position Type : Full-Time | Immediate Joiners Preferred

Criticality : High

Role Overview :

We are seeking a Lead Solutions Architect specializing in AI Infrastructure and Private Cloud to design and deliver scalable, high-performance compute environments for machine learning, deep learning, and AI workloads. The ideal candidate will have deep expertise in Kubernetes , container orchestration , GPU / TPU acceleration , and HPC (High Performance Computing) architectures, enabling AI-driven innovation across enterprise platforms.

Key Responsibilities :

• Architect, design, and implement AI / ML infrastructure solutions across private and hybrid cloud environments.
• Lead setup and optimization of Kubernetes Landing Zones , including cluster design, multi-tenancy, and security.
• Manage containerized workloads using orchestration tools (Kubernetes, Docker, Podman, OpenShift).
• Integrate AI accelerators (NVIDIA GPUs, TPUs) for ML / DL model training and inference.
• Enable deployment of deep learning models with a focus on hardware acceleration, scalability, and performance tuning.
• Build and maintain edge and cloud-native deployment pipelines for AI workloads.
• Collaborate with AI / ML and DevOps teams to ensure robust CI / CD workflows for model deployment.
• Drive HPC architecture design , including compute, storage, networking, and scheduling (SLURM, PBS, etc.).
• Optimize HPC and AI infrastructure for cost, performance, and resource utilization.
• Provide technical leadership in evaluating and integrating emerging technologies (AI frameworks, MLOps platforms, accelerator hardware).
• Define standards, documentation, and best practices for AI infrastructure operations.

Required Technical Skills :

Desired Skills :