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
- Strong consulting and clientfacing experience.

📌 Infrastructure Architect (Noida)
🏢 Capgemini
📍 Noida