SENIOR CLOUD AI ENGINEER

Vrinda International; Bengaluru; On-site; INR 2,250,000 - 2,750,000; Full time

Job summary

Vrinda International is hiring a Senior Cloud AI Engineer to design and develop production-grade AI/GenAI applications, with strong emphasis on cloud engineering and scalable architectures. You will lead serverless, event-driven solutions across AWS and Azure, delivering reliable, high-performance systems.

The role requires 8–12 years of experience and is an on-site, office-based position in Bengaluru, offering a CTC up to ₹25 LPA.

Qualifications

• 8–12 years of professional experience in cloud AI engineering.
• Strong expertise in designing production-grade AI/GenAI applications.

Responsibilities

• Design and develop production-grade AI/GenAI applications.
• Build scalable cloud-native solutions across AWS and Azure.
• Implement serverless and event-driven cloud architectures.
• Lead troubleshooting and complex technical problem-solving.
• Provide architectural guidance and technical leadership.
• Drive cloud engineering and AI initiatives across teams.
• Ensure solutions meet performance, scalability and reliability requirements.

Skills

Artificial Intelligence

Serverless Architecture

Job description

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Job Description

WE ARE HIRING | SENIOR CLOUD AI ENGINEER

We are hiring an experienced Senior Cloud AI Engineer with strong expertise in Cloud Engineering and AI/GenAI application development!

Work Mode: Work From Office – On-Site

Experience: 8–12 Years

CTC: Up to ₹25 LPA

Primary Skills

• Artificial Intelligence
• Serverless Architecture

? Key Responsibilities

• Design and develop production-grade AI/GenAI applications
• Build scalable cloud-native solutions across AWS and Azure
• Implement serverless and event-driven cloud architectures
• Lead troubleshooting and complex technical problem-solving
• Design robust and scalable cloud solutions
• Provide technical leadership and architectural guidance
• Drive cloud engineering and AI initiatives across teams
• Ensure solutions meet performance, scalability and reliability requirements