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