AI INFRASTRUCTURE / GENAI ARCHITECT – ASSOCIATE MANAGER

Vrinda International; Bengaluru; On-site; INR 1,450,000 - 1,950,000; Full time

Job summary

Vrinda International invites applications for the AI INFRASTRUCTURE / GENAI ARCHITECT – ASSOCIATE MANAGER role. The candidate will design and operate enterprise-grade LLM, GenAI and Agentic AI solutions with 6–8 years of experience, and work from our office in Bengaluru.

Responsibilities include building scalable architecture, integrating GenAI components, optimizing infrastructure for performance and cost, and driving POC-led production deployments in collaboration with engineering and client

Qualifications

• 6–8 years of experience in AI/GenAI architectures.
• Experience designing scalable AI/LLM architectures for enterprise use cases.
• Experience building and integrating GenAI and Agentic AI components.

Responsibilities

• Design scalable AI/LLM technology architecture for enterprise use cases.
• Build and integrate LLM, GenAI & Agentic AI components.
• Optimize AI infrastructure for performance, scalability and cost.
• Work on end-to-end AI solution engineering and operationalization.
• Evaluate AI infrastructure technologies, platforms and vendors.
• Collaborate with engineering, architecture and client teams.
• Drive POCs and production-grade GenAI implementations.

Skills

GenAI

LLM Architecture

Agentic AI

Education

15 years of full-time education

Tools

AWS

Cloud platforms

Enterprise AI integration

Job description

AI INFRASTRUCTURE / GENAI ARCHITECT – ASSOCIATE MANAGER

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Job Description

HIRING | AI INFRASTRUCTURE / GENAI ARCHITECT – ASSOCIATE MANAGER

Experience: 6-8 years

Role: AI Infrastructure Architect / GenAI Technical Architect

Work Mode: Work From Office

Level: Associate Manager

CTC : 17 LPA

ROLE OVERVIEW

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

KEY RESPONSIBILITIES

• Design scalable AI/LLM technology architecture for enterprise use cases
• Build and integrate LLM, GenAI & Agentic AI components
• Optimize AI infrastructure for performance, scalability and cost
• Work on end-to-end AI solution engineering and operationalization
• Evaluate AI infrastructure technologies, platforms and vendors
• Collaborate with engineering, architecture and client teams
• Drive POCs and production-grade GenAI implementations

MUST-HAVE SKILLS

• Generative AI / GenAI
• LLM Technology & Architecture
• Agentic AI

GOOD TO HAVE

• Amazon Web Services (AWS)
• Cloud-based AI/ML platforms
• Enterprise AI solution integration

Education: 15 years of full-time education