AI Platform Architect (Hybrid)

We are seeking a highly experienced Senior AI Platform Architect to provide technical leadership and define the architecture and long-term technical direction for enterprise-scale Generative AI and Agentic AI platforms., AI Platform Architecture Lead architecture and technical strategy for: Enterprise Generative AI platforms Agentic AI platforms and agent runtime environments Model serving infrastructure Prompt engineering and evaluation frameworks AI governance, security, and guardrails AI observability and AI operations Multi-cloud AI platforms Scalable and resilient AI infrastructure Cloud & Platform Architecture Design and drive enterprise architecture across: Red Hat OpenShift AI (RHOAI) Google Cloud Vertex AI Google Gemini models Azure AI Foundry AWS Bedrock Anthropic Claude OpenAI platforms and models Kubernetes and cloud-native infrastructure API and data platforms Infrastructure, Scalability & Resiliency Lead strategic initiatives involving: Capacity planning and infrastructure optimization GPU infrastructure and platform strategy NVIDIA SuperPOD architecture Multi-region platform architecture Cloud disaster recovery strategies Active-active architectures High availability and fault tolerance Platform scalability and resiliency Tier-1 production system architecture

The ideal candidate will combine strong software engineering, cloud infrastructure, distributed systems, and AI/ML platform expertise with the ability to establish architecture standards, influence technology roadmaps, and lead complex cross-functional initiatives., 10+ years of experience in software engineering, infrastructure engineering, solution architecture, or enterprise architecture. 5+ years designing and implementing large-scale cloud-native platforms. Strong hands-on experience with: Kubernetes and/or OpenShift Distributed systems Cloud architecture AI/ML platforms API platforms Data platforms Deep understanding of: Generative AI RAG architectures Agentic AI Model serving MLOps Proven experience designing and supporting highly available, Tier-1 production systems. Strong understanding of enterprise architecture, scalability, security, resiliency, and performance. Ability to communicate complex technical concepts effectively to both technical and executive stakeholders. Demonstrated experience leading cross-functional architecture and engineering initiatives. Preferred Qualifications Experience architecting enterprise GenAI or Agentic AI platforms. Experience with multiple major cloud providers such as AWS, Azure, and Google Cloud Platform. Experience with GPU infrastructure and NVIDIA platforms. Experience with AI governance, model evaluation, observability, and responsible AI controls. Experience developing enterprise technology roadmaps and architecture standards. Experience leading large-scale cloud transformation or AI platform initiatives. Key Technologies AI/ML: Generative AI, RAG, Agentic AI, LLMs, Model Serving, MLOps Cloud: AWS, Azure, Google Cloud Platform AI Platforms: OpenShift AI/RHOAI, Vertex AI, Azure AI Foundry, AWS Bedrock Models: Gemini, Claude, OpenAI Infrastructure: Kubernetes, OpenShift, NVIDIA GPU/SuperPOD, Distributed Systems Architecture: Multi-Cloud, Multi-Region, Active-Active, High Availability, Disaster Recovery, Scalability & Resiliency