Infrastructure Architect

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
• Strong financial acumen for cloud AI TCO and GPU utilization optimization
• Strong consulting and clientfacing experience.