About the role
Cloud solution design on AWS/Azure/GCP remains the foundation, but the centre of gravity moves to AI-native infrastructure — the platforms, integration layers and agent pipelines AI products run on. A high-demand expansion role carrying the architecture quality bar.
Key responsibilities
- Design AI-native cloud architectures: GPU/inference capacity, model-serving, vector storage
- Build LLM-integration layers and AI agent pipelines for product and delivery teams
- Own IaC (Terraform/CloudFormation) and CI/CD, extended to model and prompt deployment
- Own AI security, data-residency and responsible-AI guardrails (EU + India, GDPR)
- Govern cost/FinOps for AI workloads (inference right-sizing, token and GPU spend)
AI handles · You own
AI handles
IaC generation · Design research · Documentation
You own
Architecture correctness · Review gates · Security · Cost governance
Your profile
- 5+ years cloud engineering/architecture on AWS/Azure/GCP (certification preferred)
- IaC, CI/CD, containers, networking and security
- Hands-on AI infra: model serving, RAG/vector stores, agent orchestration
- MLOps/LLMOps awareness; strong review discipline; clear English
Qualifications
- Degree in CS/IT or equivalent practical experience
- Cloud certifications preferred