Cloud Architect – AI/ML

Job Description

Role Overview :

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.

Key Responsibilities :

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

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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