Senior AI Cloud Architect

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    "description_html": "<p>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.</p><p>Key Responsibilities:</p><ul><li>Architect, design, and deliver AI/LLM-powered cloud-native applications from initial concept through production deployment</li><li>Design and implement Retrieval-Augmented Generation (RAG) pipelines, including integration with vector databases</li><li>Lead architectural decisions for agentic AI systems, including deployment, orchestration, and scalability</li><li>Develop and maintain architecture diagrams, technical design documents, and AI/ML white papers</li><li>Build and deploy applications on Kubernetes-based cloud platforms, ensuring reliability, scalability, and security</li><li>Collaborate with cross-functional teams to translate business requirements into robust technical solutions</li><li>Work with large datasets, including data preparation, model training, and fine-tuning workflows</li><li>Evaluate and integrate emerging AI technologies, tools, and protocols into the platform architecture</li><li>Ensure best practices across cloud infrastructure, AI governance, observability, and performance optimization</li></ul><p><br></p>",
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      "description": "<p>Description</p><p>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.</p><p>Key Responsibilities:</p><ul><li>Architect, design, and deliver AI/LLM-powered cloud-native applications from initial concept through production deployment</li><li>Design and implement Retrieval-Augmented Generation (RAG) pipelines, including integration with vector databases</li><li>Lead architectural decisions for agentic AI systems, including deployment, orchestration, and scalability</li><li>Develop and maintain architecture diagrams, technical design documents, and AI/ML white papers</li><li>Build and deploy applications on Kubernetes-based cloud platforms, ensuring reliability, scalability, and security</li><li>Collaborate with cross-functional teams to translate business requirements into robust technical solutions</li><li>Work with large datasets, including data preparation, model training, and fine-tuning workflows</li><li>Evaluate and integrate emerging AI technologies, tools, and protocols into the platform architecture</li><li>Ensure best practices across cloud infrastructure, AI governance, observability, and performance optimization</li></ul><p><br/></p><p>Requirements</p><ul><li>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</li><li>Senior-level experience as an Architect with a strong focus on AI / LLM development</li><li>Proven experience building cloud-native applications deployed on Kubernetes</li><li>Hands-on experience designing and implementing RAG pipelines and working with vector databases</li><li>Experience using MCP or A2A protocols</li><li>Deep understanding of Transformer-based architectures, including BERT and related models</li><li>Demonstrated experience creating AI architecture and design documentation (e.g., white papers, design specs)</li><li>Experience building and deploying agentic AI agents in production environments</li><li>Strong background working with large datasets, including model training and fine-tuning</li><li>Proven track record of delivering applications end-to-end, from design through production</li></ul><p>Nice to Have</p><ul><li>Experience building highly scalable SaaS platforms</li><li>Exposure to multi-tenant architectures and enterprise-grade AI solutions</li><li>Experience working in cross-functional or distributed engineering teams</li></ul><p><br/></p>",
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