Infrastructure Architect (Charlotte)

Role : Infrastructure Architect

Location : Charlotte NC (Onsite)

Duration: Long Term

The candidate combines strong technical depth with the ability to define long-term architecture, influence roadmaps, and lead cross-functional initiatives.

Lead architecture and technical direction for:

• Enterprise GenAI Platform
• Agentic AI Platform
• Model Serving Infrastructure
• Prompt and Evaluation Frameworks
• AI Governance and Guardrails
• Agent Runtime Platforms
• Observability and AI Operations

Multi-Cloud AI Platform

Design and drive architecture across:

• OpenShift AI / RHOAI
• GCP Vertex AI
• Gemini Models
• Azure AI Foundry
• AWS Bedrock
• Anthropic Claude
• OpenAI

Platform Scalability & Resiliency

Lead initiatives involving:

• Capacity planning
• GPU platform strategy
• NVIDIA Super POD architecture
• Multi-region resiliency
• Cloud DR strategy
• Active-active platform architectures
• High availability and disaster recovery

Required Qualifications

• 10+ years of software engineering, Infrastructure, and architecture experience.
• 5+ years designing large-scale cloud-native platforms.
• Strong experience with:
• Kubernetes/OpenShift
• Distributed systems
• Cloud architectures
• AI/ML platforms
• API platforms
• Data platforms
• Deep understanding of:
• Generative AI
• RAG architectures
• Agentic AI
• Model Serving
• MLOps
• Experience designing highly available Tier-1 production systems