IN
Full time
🤖 AI / ML
Agentic AI Engineer II - Cloud at Insight
Listed by DevShelfHub
Gurugram, Delhi NCR, Hyderabad, Bangalore, Pune, India (Hybrid)
Hybrid
Mid-level · 2–5 yrs
About the Role
Insight is hiring an Agentic AI Engineer II - Cloud for a hybrid role across Delhi NCR, Hyderabad, Bangalore, and Pune. You will lead architecture, design, and delivery of enterprise-scale AI/ML and Generative AI cloud platforms across AWS, Azure, and GCP.
Insight is a Fortune 500 solutions integrator with deep expertise in cloud, data, AI, cybersecurity, and intelligent edge.
What you'll do
- Architect enterprise-scale AI/ML infrastructure across AWS, Azure, and Google Cloud Platform
- Lead design and implementation of cloud infrastructure standards and governance for AI/ML platforms
- Design scalable Kubernetes-based platforms enabling self-service AI workload management
- Architect Generative AI, RAG, vector database, and LLM deployment using LangChain, CrewAI, LlamaIndex, OpenAI-compatible APIs
- Build and manage production-grade MLOps and LLMOps pipelines for model training, deployment, monitoring, and evaluation
- Design cloud-native solutions using containerization, orchestration, serverless, GPU/accelerator compute, and managed ML services
What we're looking for
- Strong hands-on experience with AWS, Microsoft Azure, and Google Cloud Platform
- Hands-on with GenAI frameworks: LangChain, CrewAI, LlamaIndex, Semantic Kernel, or similar
- Experience designing RAG pipelines, embedding workflows, document ingestion, prompt orchestration, vector search
- Strong understanding of LLM deployment patterns, model serving, inference optimization, prompt engineering, evaluation frameworks, guardrails, responsible AI
Skills & Technologies
Required
Strong hands-on experience with AWS, Microsoft Azure, and Google Cloud Platform
Hands-on with GenAI frameworks: LangChain, CrewAI, LlamaIndex, Semantic Kernel, or similar
Experience designing RAG pipelines, embedding workflows, document ingestion, prompt orchestration, vector search
Strong understanding of LLM deployment patterns, model serving, inference optimization, prompt engineering, evaluation frameworks, guardrails, responsible AI
Strong scripting in Python, Bash, PowerShell for automation and integration
Ability to work with APIs, data models, and external toolchains across complex systems
Very good understanding of Microsoft Foundry
Benefits & Perks
- Health Insurance
- Flexible Leave Policy
- Learning Budget
- EPF / NPS
Why This Role is Good for Experienced Professionals
- Architect enterprise-scale GenAI and MLOps platforms across multi-cloud environments.
- Architect enterprise-scale AI/ML infrastructure across AWS, Azure, and GCP
- Lead cloud infrastructure standards, governance, and security for AI/ML platforms
- Design scalable Kubernetes-based platforms for ML and data science teams
- Architect GenAI, RAG, vector database, and LLM deployment solutions
- Very good understanding of Microsoft Foundry
- Build production-grade MLOps and LLMOps pipelines for training, deployment, and monitoring
- Design cloud-native AI solutions with containerization, serverless, GPU compute, and distributed processing
- Hybrid work across Delhi NCR, Hyderabad, Bangalore, and Pune
- Medical insurance, professional development, and shift allowance benefits
About Insight
Insight has 14,000+ engaged teammates globally with $9.2 billion in revenue. The company guides organizations through complex digital decisions across cloud, data, AI, and cybersecurity.
- Industry
- Technology
- Company Size
- 500+
- Website
- insight.com
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Job Details
- Type
- Full time
- Level
- Mid-level
- Experience
- 2–5 years
- Location
- Gurugram, Delhi NCR, Hyderabad, Bangalore, Pune, India (Hybrid)
- Work Mode
- Hybrid
- Category
- AI / ML
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