Cloud Engineer III- AI

Insight Enterprises, Inc.; Gurugram District; Hybrid; INR 2,800,000 - 4,000,000; Full time

Benefits offered by this job

Freedom to work remotely up to 30 days

Medical Insurance

Certificate Reimbursement

Job summary

Insight Enterprises, Inc. is hiring a Cloud AI Engineer III to lead architecture and delivery of enterprise-scale AI/ML cloud platforms across AWS, Azure, and GCP. You will set engineering standards, mentor teams and deliver secure, scalable AI infrastructure with cost optimization.

The role demands strong cloud architecture, MLOps, GenAI solution design, and hands-on deployment of production-grade AI workloads. Hybrid work with emphasis on collaboration across locations.

Qualifications

• Bachelor's degree in Computer Science or equivalent required.
• 5-8 years of hands-on cloud and AI/ML experience.
• Experience across AWS, Azure and GCP architecture and security.
• Proficient in GenAI frameworks and ML orchestration tools.

Responsibilities

• Architect enterprise-scale AI/ML infrastructure across multi-clouds.
• Lead design of cloud standards, governance, and security controls.
• Develop Kubernetes-based platforms for ML teams.
• Build and deploy GenAI, RAG pipelines, vector search and LLM services.

Skills

Python

Bash

PowerShell

Kubernetes

MLOps

LangChain

LLM deployment

Cloud architecture

Education

Bachelor's degree in Computer Science

Tools

LangGraph

LangChain

CrewAI

LlamaIndex

Semantic Kernel

Job description

Select how often (in days) to receive an alert:

Gurugram, HR, IN

Requisition Number: 105659

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

Insightat a Glance

• 14,000+ engaged teammates globally with operations in 25 countries across the globe.
• Received 25+ industry and partner awards in the past year
• $8.2 billion in revenue in 2025
• Certified as a Great Place to work in 9 Countries in 2025
• Fortune 500 Company (No. 447) in 2025

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 III, 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 strong 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 and self‑service environments that enable ML, data science, and application teams to build, deploy, and manage AI workloads independently.
• Architect Generative AI, Retrieval‑Augmented Generation, vector database, and LLM deployment solutions using frameworks and tools such as LangChain, CrewAI, LlamaIndex, OpenAI‑compatible APIs, and enterprise AI services.
• Very good understanding of Microsoft Foundry
• Build and manage production‑grade MLOps and LLMOps pipelines for model training, deployment, monitoring, versioning, evaluation, and continuous improvement.
• Design cloud‑native solutions for AI workloads using containerization, orchestration, serverless computing, GPU/accelerator‑based compute, managed ML services, and distributed processing frameworks.

Required Skills and Technical Expertise

• Bachelor's degree in Computer Scienceor equivalent.
• 5-8 years of relevant experience.
• Strong hands‑on experience with cloud platforms such as AWS, Microsoft Azure, and Google Cloud Platform and designing large‑scale cloud architectures.
• Hands‑on experience with GenAI frameworks and orchestration tools such as LangGraph, LangChain, CrewAI, Llama Index, Semantic Kernel, or similar frameworks.
• Experience designing RAG pipelines, embedding workflows, document ingestion pipelines, prompt orchestration, vector search, and enterprise knowledge retrieval solutions.
• Strong understanding of LLM deployment patterns, model serving, inference optimization, prompt engineering, evaluation frameworks, guardrails, and responsible AI controls.
• Strong scripting and programming skills in Python, Bash, PowerShell, or similar languages, with the ability to build automation and integration solutions.
• Ability to work with APIs, data models, and external toolchains across complex systems.

What you can expect

We’re legendary for taking care of you, your family and to help you engage with your local community. We want you to enjoy a full, meaningful life and own your career at Insight. Some of our benefits include:

• Freedom to work from another location—even an international destination—for up to 30 consecutive calendar days per year.
• Medical Insurance
• Professional Development: Learning Platform and Certificate Reimbursement

But what really sets us apart are our core values of Hunger, Heart, and Harmony, which guide everything we do, from building relationships with teammates, partners, and clients to making a positive impact in our communities.

When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process.

At Insight, we celebrate diversity of skills and experience so even if you don’t feel like your skills are a perfect match - we still want to hear from you!

Today's talent leadstomorrow's success. Learn more about Insight:

Insight is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.

Insight India Location:Level 16, Tower B, Building No 14, Dlf Cyber City In It/Ites Sez, Sector 24 &25 A Gurugram Gurgaon Hr 122002 India

Job Segment:

Cloud, Manufacturing Engineer, Developer, Computer Science, Social Media, Technology, Engineering, Marketing