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AI Cloud Engineer III
Actively Reviewing
Insight
Job Description
Requisition Number: 105659
Cloud Engineer III- AI
Location: This is a hybrid opportunity in Delhi NCR, Hyderabad, Bangalore, Pune.
Insight at a Glance
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
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:
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 Leads Tomorrow's Success. Learn More About Insight
https://www.linkedin.com/company/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
Cloud Engineer III- 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 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
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.
- Bachelor's degree in Computer Science or 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.
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
- Health Benefits
- Professional Development: Learning Platform and Certificate Reimbursement
- Shift Allowance
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 Leads Tomorrow's Success. Learn More About Insight
https://www.linkedin.com/company/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
Required Skills
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