Lead AI Platform Architect

We are looking for a Lead AI Platform Architect with strong hands-on experience designing and building enterprise-scale AI/ML platforms and cloud-native infrastructure.
The ideal candidate must be able to discuss their hands-on project experience in depth, particularly around Kubernetes/OpenShift, AI/ML platforms, MLOps/AI Ops, and cloud architecture.
This role will lead technical architecture, define long-term platform strategy, influence technology roadmaps, and drive cross-functional initiatives.
Key Responsibilities:

Lead architecture and technical direction for:

o  Enterprise GenAI Platforms
o  Agentic AI Platforms
o  Model Serving Infrastructure
o  Agent Runtime Platforms
o  Prompt & Evaluation Frameworks
o  AI Governance & Guardrails
o  AI Observability & AI Operations

Design and drive multi-cloud AI platform architecture across:

o  OpenShift AI / RHOAI
o  Google Cloud Platform Vertex AI
o  Azure AI Foundry
o  AWS Bedrock
o  Gemini, Anthropic Claude, and OpenAI models

Define platform strategies for:

o  Kubernetes/OpenShift
o  GPU infrastructure
o  NVIDIA SuperPOD
o  Capacity planning
o  Multi-region architectures
o  High availability
o  Disaster recovery
o  Active-active architectures

• Drive architecture for highly scalable, secure, resilient Tier-1 production platforms.
• Partner with engineering, infrastructure, data, security, and business teams to establish technical roadmaps and architectural standards.

Must-Have Skills

Candidates should have strong hands-on experience with:

• Kubernetes / OpenShift
• AI/ML Platforms
• MLOps / AI Ops
• Cloud Architecture
• Distributed Systems
• Generative AI / LLM Platforms
• RAG Architectures
• Agentic AI
• Model Serving
• API Platforms
• Data Platforms
• High Availability & Disaster Recovery
• Production-scale cloud-native platforms

Preferred Experience:

• 10+ years of experience in software engineering, infrastructure, and/or architecture.
• 5+ years designing and implementing large-scale cloud-native platforms.
• Experience with OpenShift AI / RHOAI, Google Cloud Platform Vertex AI, Azure AI Foundry, AWS Bedrock, or similar AI platforms.
• Experience with GPU infrastructure and NVIDIA SuperPOD environments.
• Experience architecting multi-cloud and multi-region platforms.
• Experience with enterprise AI governance, security, observability, and guardrails.
• What the Client Is Looking ForHands-on technical depth is critical. Candidates should be able to clearly explain:
• AI/ML platforms they have personally designed or implemented.
• Kubernetes/OpenShift architecture and production deployments.
• MLOps/AI Ops implementation.
• Cloud architecture decisions and trade-offs.
• GenAI, RAG, agentic AI, or model-serving projects.
• Scalability, resiliency, HA, and DR strategies used in real production environments.

Location Preference: Charlotte NC.

Job Type: Full-time

Pay: $50.00 - $65.00 per hour

Work Location: Hybrid remote in Charlotte, NC 28201