AI Infrastructure Architect | Generative AI

Vrinda International; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Benefits offered by this job

Job summary

Vrinda International in Bengaluru seeks an experienced AI Infrastructure Architect to design, build, integrate and operationalize enterprise-grade Generative AI, LLM and Agentic AI solutions. The ideal candidate has deep Generative AI expertise, hands-on engineering experience, and a track record of delivering production-ready AI infrastructure at scale in complex environments.

Strong background in AI infrastructure topology, performance optimization and cost control is essential to succeed in

Qualifications

• 7.5+ years of hands-on experience in AI infrastructure design and deployment.
• Experience with AI/LLM architectures and GenAI components.
• Strong focus on scalability, performance, and cost optimization.

Responsibilities

• Architect and build custom AI infrastructure and hardware solutions.
• Design and integrate LLM, GenAI and Agentic AI components.
• Optimize AI infrastructure for performance, cost, power and scalability.
• Evaluate AI infrastructure technologies and vendors.
• Lead full-stack AI infrastructure integration, testing and operations.
• Collaborate with engineering and architecture teams to deliver production-ready AI solutions.

Skills

Generative AI

AI/LLM Architecture

LLM/GenAI components

AI infra/hardware optimization

Scalability & performance

Education

15 Years Full-Time Education

Job description

AI Infrastructure Architect | Generative AI

Job Description

• Experience: 7.5+ Years
• Education: 15 Years Full-Time Education
• Role Type: AI / LLM Technology Architecture

We are looking for an experienced AI Infrastructure Architect to design, build, integrate and operationalize enterprise-grade Generative AI, LLM and Agentic AI solutions.

Good to Have:

• Enterprise AI solution integration and deployment

Key Responsibilities:

• Architect and build custom AI infrastructure and hardware solutions
• Design and integrate LLM, GenAI and Agentic AI components
• Optimize AI infrastructure for performance, cost, power and scalability
• Evaluate AI infrastructure technologies and vendors
• Lead full-stack AI infrastructure integration, testing and operationalization
• Collaborate with engineering and architecture teams to deliver production-ready AI solutions

Ideal Candidate:

An experienced AI/LLM Architect with strong Generative AI expertise and hands-on engineering experience in building and operationalizing enterprise AI solutions.

Requirements

Must-Have Skills:

• Strong expertise in Generative AI
• AI/LLM Technology Architecture
• Hands-on experience building and integrating LLM/GenAI components
• Experience with AI infrastructure/hardware architecture and optimization
• Strong understanding of scalability, performance, cost and operational considerations