Rackspace Technology
5001 - 10000 employees
Founded 1998
🏢 Enterprise
🤖 Artificial Intelligence
🔐 Security
Enterprise • Artificial Intelligence • Security
Rackspace Technology is a global managed cloud services provider that designs, builds, migrates and operates multicloud, hybrid and private cloud environments for enterprises. It offers consulting, professional and managed services across cloud infrastructure, application modernization, data platforms, AI/ML (Foundry of AI/FAIR), and cybersecurity, along with managed hosting, colocation and platform integrations with major hyperscalers. Rackspace serves regulated and mission-critical industries with a focus on security, compliance, cost optimization and operational reliability.
AI Architect
🕒 May 29
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Rackspace Technology
5001 - 10000 employees
Founded 1998
🏢 Enterprise
🤖 Artificial Intelligence
🔐 Security
Enterprise • Artificial Intelligence • Security
Rackspace Technology is a global managed cloud services provider that designs, builds, migrates and operates multicloud, hybrid and private cloud environments for enterprises. It offers consulting, professional and managed services across cloud infrastructure, application modernization, data platforms, AI/ML (Foundry of AI/FAIR), and cybersecurity, along with managed hosting, colocation and platform integrations with major hyperscalers. Rackspace serves regulated and mission-critical industries with a focus on security, compliance, cost optimization and operational reliability.
📋 Description
• Define and own the architecture strategy for AI platforms and applications across Rackspace • Design scalable, reusable AI architecture patterns including agentic systems and orchestration frameworks • Create and govern architecture standards and conduct design reviews • Lead build vs. buy vs. partner decisions for AI tooling and frameworks • Ensure interoperability across teams, platforms, and services
🎯 Requirements
• 5+ years of experience in software architecture • Hands-on experience designing production-grade agentic systems and LLM-integrated applications • Expert-level Python experience, including async patterns and production-grade engineering practices • Deep expertise in AWS Cloud Architecture across compute, networking, storage, and managed AI services • Strong experience with Kubernetes and designing production workloads • Familiarity with MLOps practices • Experience with LangChain/LangGraph • Contributions to open source AI or developer tooling projects
🏖️ Benefits
• Flexible work arrangements • Professional development opportunities
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