Senior AI Cloud Architect
Zhone Technologies, Plano, TX, United States
Job Description
Job Description Description: We are seeking a Senior AI Cloud Architect with deep expertise in AI/LLM system design and cloud-native architectures to lead the design, development, and delivery of scalable AI-powered applications. This role will play a critical part in architecting end-to-end solutions that leverage modern LLM frameworks, agentic AI, and cloud infrastructure, while partnering closely with engineering and product teams from concept through production. Key Responsibilities:
* Architect, design, and deliver AI/LLM-powered cloud-native applications from initial concept through production deployment * Design and implement Retrieval-Augmented Generation (RAG) pipelines, including integration with vector databases * Lead architectural decisions for agentic AI systems, including deployment, orchestration, and scalability * Develop and maintain architecture diagrams, technical design documents, and AI/ML white papers * Build and deploy applications on Kubernetes-based cloud platforms, ensuring reliability, scalability, and security * Collaborate with cross-functional teams to translate business requirements into robust technical solutions * Work with large datasets, including data preparation, model training, and fine-tuning workflows * Evaluate and integrate emerging AI technologies, tools, and protocols into the platform architecture * Ensure best practices across cloud infrastructure, AI governance, observability, and performance optimization
Requirements:
* 8+ years of experience in software engineering, systems architecture, or a related technical role, with significant hands-on experience designing and delivering AI/LLM-driven, cloud-native applications * Senior-level experience as an Architect with a strong focus on AI / LLM development * Proven experience building cloud-native applications deployed on Kubernetes * Hands-on experience designing and implementing RAG pipelines and working with vector databases * Experience using MCP or A2A protocols * Deep understanding of Transformer-based architectures, including BERT and related models * Demonstrated experience creating AI architecture and design documentation (e.g., white papers, design specs) * Experience building and deploying agentic AI agents in production environments * Strong background working with large datasets, including model training and fine-tuning * Proven track record of delivering applications end-to-end, from design through production
Nice to Have
* Experience building highly scalable SaaS platforms * Exposure to multi-tenant architectures and enterprise-grade AI solutions * Experience working in cross-functional or distributed engineering teams
Job Description Description: We are seeking a Senior AI Cloud Architect with deep expertise in AI/LLM system design and cloud-native architectures to lead the design, development, and delivery of scalable AI-powered applications. This role will play a critical part in architecting end-to-end solutions that leverage modern LLM frameworks, agentic AI, and cloud infrastructure, while partnering closely with engineering and product teams from concept through production. Key Responsibilities:
* Architect, design, and deliver AI/LLM-powered cloud-native applications from initial concept through production deployment * Design and implement Retrieval-Augmented Generation (RAG) pipelines, including integration with vector databases * Lead architectural decisions for agentic AI systems, including deployment, orchestration, and scalability * Develop and maintain architecture diagrams, technical design documents, and AI/ML white papers * Build and deploy applications on Kubernetes-based cloud platforms, ensuring reliability, scalability, and security * Collaborate with cross-functional teams to translate business requirements into robust technical solutions * Work with large datasets, including data preparation, model training, and fine-tuning workflows * Evaluate and integrate emerging AI technologies, tools, and protocols into the platform architecture * Ensure best practices across cloud infrastructure, AI governance, observability, and performance optimization
Requirements:
* 8+ years of experience in software engineering, systems architecture, or a related technical role, with significant hands-on experience designing and delivering AI/LLM-driven, cloud-native applications * Senior-level experience as an Architect with a strong focus on AI / LLM development * Proven experience building cloud-native applications deployed on Kubernetes * Hands-on experience designing and implementing RAG pipelines and working with vector databases * Experience using MCP or A2A protocols * Deep understanding of Transformer-based architectures, including BERT and related models * Demonstrated experience creating AI architecture and design documentation (e.g., white papers, design specs) * Experience building and deploying agentic AI agents in production environments * Strong background working with large datasets, including model training and fine-tuning * Proven track record of delivering applications end-to-end, from design through production
Nice to Have
* Experience building highly scalable SaaS platforms * Exposure to multi-tenant architectures and enterprise-grade AI solutions * Experience working in cross-functional or distributed engineering teams