YOUR ROLE

The Cloud & AI Infrastructure Architect shall bring considerable experience in
the areas of cloud economics, FinOps Operating model and cloud cost
optimization. The Lead should be able to :
Develop AI‑ready 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 end‑to‑end 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, AI‑optimized compute clusters).

Conduct C‑suite conversations on AI cloud strategy, value cases, and
future‑ready architecture pathways





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 client‑facing experience.
Experience in technical pre-sales and deal shaping is a must.

WHAT YOU’LL LOVE ABOUT WORKING HERE

We recognize the significance of flexible work arrangements to provide support.
Be it remote work, or adaptable work hours, you will get an workplace to
maintain healthy work life balance.At the heart of ou

📌 Infrastructure Architect Noida
🏢 Capgemini
📍 Noida