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Insight Enterprises

Cloud Engineer II (New Delhi)

Insight Enterprises

New Delhi, Delhi, India
Full-Time
Posted 1 month ago

Job Description & Responsibilities

Requisition Number

Cloud Engineer II- AI

Location: This is a hybrid opportunity in Delhi NCR, Hyderabad, Bangalore, Pune.

Insight at a Glance

14,000+ engaged teammates globally with operations in 25 countries across the globe. Received 35+ industry and partner awards in the past year $9.2 billion in revenue #20 on Fortunes World's Best Workplaces list #14 on Forbes World's Best Employers in IT 2023 #23 on Forbes Best Employers for Women in IT- 2023 $1.4M+ total charitable contributions in 2023 by Insight globally Now is the time to bring your expertise to Insight. We are not just a tech company; we are a people-first company. We believe that by unlocking the power of people and technology, we can accelerate transformation and achieve extraordinary results. As a Fortune 500 Solutions Integrator with deep expertise in cloud, data, AI, cybersecurity, and intelligent edge, we guide organizations through complex digital decisions.

Role Overview

As a Cloud AI Engineer II , you will be responsible for leading the architecture, design, and delivery of enterprise-scale AI/ML and Generative AI cloud platforms. You will drive technical strategy, establish engineering standards, mentor teams, and deliver secure, scalable, reliable, and cost-optimized AI infrastructure across multi-cloud environments including AWS, Azure, and GCP.

This role requires a robust combination of cloud architecture, AI/ML platform engineering, Kubernetes, MLOps, GenAI solution design, infrastructure automation, security governance, and hands-on experience deploying production-grade AI workloads.

Key Roles and Responsibilities

Architect enterprise-scale AI/ML infrastructure across AWS, Azure, and Google Cloud Platform, ensuring high availability, scalability, performance, and cost efficiency. Lead the design and implementation of cloud infrastructure standards, governance frameworks, security controls, and technical best practices for AI/ML platforms. Design scalable Kubernetes-based platforms Requisition Number:

Cloud Engineer II- AI

Location: This is a hybrid opportunity in Delhi NCR, Hyderabad, Bangalore, Pune.

Insight at a Glance

14,000+ engaged teammates globally with operations in 25 countries across the globe. Received 35+ industry and partner awards in the past year $9.2 billion in revenue #20 on Fortunes World's Best Workplaces list #14 on Forbes World's Best Employers in IT 2023 #23 on Forbes Best Employers for Women in IT- 2023 $1.4M+ total charitable contributions in 2023 by Insight globally Now is the time to bring your expertise to Insight. We are not just a tech company; we are a people-first company. We believe that by unlocking the power of people and technology, we can accelerate transformation and achieve extraordinary results. As a Fortune 500 Solutions Integrator with deep expertise in cloud, data, AI, cybersecurity, and intelligent edge, we guide organizations through complex digital decisions.

Role Overview

As a Cloud AI Engineer II , you will be responsible for leading the architecture, design, and delivery of enterprise-scale AI/ML and Generative AI cloud platforms. You will drive technical strategy, establish engineering standards, mentor teams, and deliver secure, scalable, reliable, and cost-optimized AI infrastructure across multi-cloud environments including AWS, Azure, and GCP.

This role requires a robust combination of cloud architecture, AI/ML platform engineering, Kubernetes, MLOps, GenAI solution design, infrastructure automation, security governance, and hands-on experience deploying production-grade AI workloads.

Key Roles and Responsibilities

Architect enterprise-scale AI/ML infrastructure across AWS, Azure, and Google Cloud Platform, ensuring high availability, scalability, performance, and cost efficiency. Lead the design and implementation of cloud infrastructure standards, governance frameworks, security controls, and technical best practices for AI/ML platforms. Design scalable Kubernetes-based platforms

Required Skills

AWSAzureGCPKubernetesMachine Learning

Job Details

Employment TypeFull-Time
Work ModeHybrid
Experience00 years
Positions1

Posted by

N/A

Posted on:

21 Jul 2026

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