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AI INFRASTRUCTURE ARCHITECT – GENERATIVE AI

Vrinda International

Job Location:

Bengaluru - India

Monthly Salary: ₹ 18 - 22

Experience Required: 8-12years

Posted: 4 September 2026 (Yesterday)

Application Deadline: 2 December 2026

Vacancies: 1 Vacancy

Job Summary

HIRING AI INFRASTRUCTURE ARCHITECT GENERATIVE AI

Location: Bengaluru

Experience: 8-12 years

Role: AI Infrastructure Architect / AI LLM Technology Architect

Work Mode: As per project requirements

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

AI Infrastructure / AI Platform Architecture

Hands-on AI Engineering

Enterprise AI Solution Design

Agentic AI

GOOD TO HAVE

Amazon Web Services (AWS)

Cloud-based AI infrastructure

AI/ML platform integration

LLM application deployment & operationalization

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.

Required Skills:

MUST-HAVE SKILLS Generative AI LLM Technology & Architecture AI Infrastructure / AI Platform Architecture Hands-on AI Engineering Enterprise AI Solution Design Agentic AI GOOD TO HAVE Amazon Web Services (AWS) Cloud-based AI infrastructure AI/ML platform integration LLM application deployment & operationalization

Required Education:

Bachelors Degree (MBA Preferred)

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