AI INFRASTRUCTURE ARCHITECT – AI AGENTS & WORKFLOW INTEGRATION

Vrinda International; Bengaluru; On-site; INR 1,955,000 - 2,645,000; Full time

Job summary

Vrinda International seeks an AI Infrastructure Architect to design, build, automate, monitor, and optimize scalable AI/ML infrastructure on AWS. The role covers GPU infrastructure, model deployment, MLOps, and enterprise AI integration. 8–12 years experience is expected.

The ideal candidate will deploy GPU-enabled compute, build CI/CD and IaC solutions, and ensure secure, cost-efficient AI platforms while collaborating with data scientists and ML engineers.

Qualifications

• Bachelor’s degree in CS/IT/Engineering is required.
• Experience in AI infrastructure with 8–12 years is expected.
• Proficiency with AWS, GPU acceleration, MLOps, and IaC is essential.

Responsibilities

• Build and optimize AWS infrastructure for AI/ML workloads.
• Deploy GPU-enabled compute, containers, and model-serving systems.
• Develop CI/CD and Infrastructure-as-Code solutions.
• Monitor and troubleshoot AI platforms and production workloads.
• Collaborate with Data Scientists, ML Engineers, and Architects.
• Implement scalable, secure, reliable, and cost-effective AI platforms.

Skills

AI Infrastructure

MLOps

Cloud Architecture

Observability

Security best practices

Education

Bachelor of Science in CS/IT/Engineering

Tools

AWS

Terraform

CI/CD tooling

Kubernetes

Job description

Job Description

HIRING | AI INFRASTRUCTURE ARCHITECT – AI AGENTS & WORKFLOW INTEGRATION

Experience: 8-12 YEARS

CTC : 23 LPA

Role: AI Infrastructure Architect

ROLE OVERVIEW

We are looking for an experienced AI Infrastructure Architect to design, build, automate, monitor, and optimize scalable AI/ML infrastructure on AWS . The role involves GPU infrastructure, model deployment, MLOps, automation, observability, and enterprise AI integration.

MUST-HAVE SKILLS

AI Agents & Workflow Integration

AWS – EC2, EKS, SageMaker, S3, IAM, VPC, CloudWatch

Terraform / CloudFormation

CI/CD & Infrastructure Automation

GPU / Accelerated Computing

Monitoring, Security & Cost Optimization

KEY RESPONSIBILITIES

• Build and optimize AWS infrastructure for AI/ML workloads
• Deploy GPU-enabled compute, containers, and model-serving systems
• Develop CI/CD and Infrastructure-as-Code solutions
• Monitor and troubleshoot AI platforms and production workloads
• Collaborate with Data Scientists, ML Engineers, and Architects
• Implement scalable, secure, reliable, and cost-efficient AI platforms

Qualification: Bachelor’s degree in CS/IT/Engineering with 15 years of full-time education.