Your Role
Develop AIready cloud architectures covering GPU clusters, LLM hosting frameworks, distributed training, hybrid AI, and edge AI.
Lead Cloud & AI modernization assessments, maturity evaluations, and capability gap identification.
Define endtoend AI infrastructure blueprints including data pipelines, vector stores, orchestrators, MLOps, and security layers.
Design solution architectures, effort estimates, delivery models, and cost structures for AI cloud programs.
Provide architectural governance during early delivery phases
Respond to RFPs/RFIs, write technical solution narratives, and participate in bid defenses.
Create compelling demos, POVs, and prototypes showcasing unique capabilities (e.g., RAG pipelines, AIoptimized compute clusters).
Collaborate with Sales, Industry Leads, and Delivery to generate leads,



engage and craft winning propositions

Your Profile
10+ years in cloud architecture; 2+ years in AI infrastructure.
Expertise in:
Azure AI Studio / Azure ML, AWS SageMaker / Bedrock and GCP Vertex AI
Infrastructure Modernization Refactoring, replatforming, IaC and Secure Landing Zones
Kubernetes, GPU Scheduling, MLOps & LLMOps patterns
Identity & Access: Azure AD, AWS IAM, Okta
Monitoring: Prometheus, Grafana, Azure Monitor, CloudWatch
Experience with Solutioning for RFP responses and commercial models
Robust financial acumen for cloud AI TCO and GPU utilization optimization
Solid consulting and clientfacing experience.

📌 Infrastructure Architect Noida
🏢 Capgemini
📍 Noida