AI INFRASTRUCTURE ARCHITECT – GENERATIVE AI

Vrinda International; Bengaluru; On-site; INR 2,200,000 - 2,400,000; Full time

Job summary

Vrinda International seeks an AI Infrastructure Architect – Generative AI to design, build, integrate, test and operationalize enterprise-grade AI solutions. 8–12 years of experience required, with hands-on expertise in Generative AI and LLM technologies.

The ideal candidate will own AI/LLM architecture, GenAI applications, AI infrastructure, and agentic AI components across the full tech stack, collaborating with engineering teams to deliver production-ready, scalable and secure AI platforms in

Qualifications

• 8–12 years of experience in AI infrastructure or related roles.
• Hands-on experience with Generative AI and LLM architectures.
• Experience designing, deploying, and securing enterprise AI infrastructure.

Responsibilities

• Design and architect scalable AI/LLM infrastructure and technology solutions.
• Build and integrate enterprise-grade Generative AI and LLM components.
• Work on Agentic AI solutions and AI-powered applications.
• Optimize AI infrastructure for performance, scalability, cost, and efficiency.
• Design, test, integrate, and operationalize AI solutions for enterprise environments.
• Evaluate AI infrastructure technologies, platforms, and vendors.
• Collaborate with engineering and architecture teams to deliver production-ready AI solutions.
• Ensure reliability, scalability, security, and operational readiness of AI platforms.

Skills

Generative AI

LLM Technology & Architecture

Agentic AI

Education

15 years of full-time education

Job description

AI INFRASTRUCTURE ARCHITECT – GENERATIVE AI

Job Description

HIRING | AI INFRASTRUCTURE ARCHITECT – GENERATIVE AI

Experience: 8-12 years

CTC : 23 LPA

ROLE OVERVIEW

We are looking for an experienced AI Infrastructure Architect with strong expertise in Generative AI and LLM technologies to design, build, integrate, test, and operationalize enterprise-grade AI solutions.

The ideal candidate should have hands-on experience in AI/LLM architecture, GenAI applications, AI infrastructure, and agentic AI components , with the ability to work across the full technology stack.

KEY RESPONSIBILITIES

• Design and architect scalable AI/LLM infrastructure and technology solutions
• Build and integrate enterprise-grade Generative AI and LLM components
• Work on Agentic AI solutions and AI-powered applications
• Optimize AI infrastructure for performance, scalability, cost, and efficiency
• Design, test, integrate, and operationalize AI solutions for enterprise environments
• Evaluate AI infrastructure technologies, platforms, and vendors
• Collaborate with engineering and architecture teams to deliver production-ready AI solutions
• Ensure reliability, scalability, security, and operational readiness of AI platforms

MUST-HAVE SKILLS

• Generative AI
• LLM Technology & Architecture
• Agentic AI

GOOD TO HAVE

• Amazon Web Services (AWS)
• Cloud-based AI infrastructure
• AI/ML platform integration

ELIGIBILITY

• 15 years of full-time education
• Minimum 5 years of professional experience

IDEAL CANDIDATE

Professionals with strong hands-on experience in Generative AI, LLM architecture, AI infrastructure, and enterprise AI engineering , who can independently design and implement scalable AI solutions.