Cloud Architect - AI Platform

We are seeking an experienced Cloud Architect to lead the design, evaluation, deployment, and evolution of enterprise AI platforms across cloud, on-premises, hybrid, and air-gapped environments. This role will define AI platform strategy, evaluate emerging AI technologies, drive migrations, and establish scalable deployment patterns for AI applications, models, and agentic systems.

Scope of Work

• Define AI platform architecture for MLOps, LLMOps, AgentOps, and RAG.

• Evaluate new AI services, models, and cloud-native capabilities.

• Engage with Azure, AWS, GCP, Databricks, NVIDIA, and AI vendors.

• Design deployment and migration strategies across cloud and on-prem platforms.

• Architect AI solutions for cloud, hybrid, and air-gapped environments.

• Define standards for MCP, A2A, WebSockets, Streaming HTTP, and SSE.

• Configure GPU infrastructure, Kubernetes, and OpenShift-based AI platforms.

• Drive AI governance, security, reliability, and cost optimization.

• Mentor engineering teams and lead architecture reviews.

Must-Have Skills

• 8+ years in Cloud/Platform Architecture.

• 3+ years in AI/ML/GenAI platforms.

• Azure, AWS, or GCP architecture expertise.

• On-prem, hybrid, and air-gapped deployment experience.

• Kubernetes, OpenShift, Docker.

• Terraform or Bicep.

• AI Foundry, AWS Bedrock, Databricks, SageMaker, or Vertex AI.

• LLMs, RAG, Agentic AI, Vector Databases.

• MCP, A2A, WebSockets, Streaming HTTP/SSE.

• Enterprise integration, migration, and modernization experience.

• Cloud Architect Professional Certifications.

Good-to-Have Skills

• LangGraph, Semantic Kernel, CrewAI.

• GPU optimization.

• AI FinOps.