Infrastructure Architect

AI Platform ArchitectWe are seeking an experienced AI Platform Architect to lead the technical architecture, strategy, and evolution of enterprise AI platforms. This role will provide architectural leadership for large-scale AI and cloud platform initiatives, partnering with engineering, infrastructure, security, product, and business stakeholders to deliver scalable, resilient, and secure AI capabilities.The successful candidate will demonstrate deep expertise in cloud-native architectures, AI/ML platforms, distributed systems, and platform engineering, along with the ability to influence technical roadmaps and lead cross-functional initiatives.Key ResponsibilitiesArchitecture LeadershipLead architecture and technical direction for enterprise AI platform capabilities, including:Enterprise Generative AI platformsAgentic AI platforms and agent runtime environmentsModel serving and inference infrastructurePrompt engineering, evaluation, and testing frameworksAI governance, risk management, and guardrailsAI observability, monitoring, and operationsMulti-cloud AI platform strategy and architecturePlatform Architecture & DesignDesign, evaluate, and guide architecture across AI and cloud technologies such as:Red Hat OpenShift AI (RHOAI)Google Cloud Vertex AIGemini modelsAzure AI FoundryAmazon BedrockAnthropic ClaudeOpenAI services and modelsCloud-native platform scalability and resiliency solutionsStrategic InitiativesLead and collaborate on initiatives involving:Capacity planning and performance optimizationGPU infrastructure and platform strategyLarge-scale NVIDIA-based AI infrastructure architecturesMulti-region and multi-cloud resiliencyDisaster recovery planning and cloud DR strategiesActive-active platform architecturesHigh availability and business continuity solutionsRequired QualificationsBachelor's degree in Computer Science, Information Systems, Engineering, or a related field; or equivalent combination of education and relevant experience.Minimum of 10 years of experience in software engineering, infrastructure engineering, systems architecture, or related technical disciplines.Minimum of 5 years of experience designing and implementing large-scale cloud-native platforms.Experience designing, deploying, and supporting highly available, mission-critical production systems.Experience with:Kubernetes and/or OpenShiftDistributed systems architecturesPublic cloud platforms and cloud-native architecturesAI/ML platforms and infrastructureAPI and integration platformsData platforms and data-intensive applicationsKnowledge of:Generative AI systems and architecturesRetrieval-Augmented Generation (RAG)Agentic AI frameworks and platformsModel serving and inference architecturesMLOps practices and toolingDemonstrated ability to lead technical initiatives across multiple teams and stakeholders.Ability to work from or relocate to one of the following approved locations: San Francisco Bay Area, CA; Charlotte, NC; Dallas, TX; Phoenix, AZ; or New York, NY.Preferred QualificationsExperience with one or more major cloud providers, including AWS, Azure, or Google Cloud Platform.Experience architecting GPU-accelerated AI infrastructure.Experience implementing AI governance, security, risk management, and compliance controls.Experience building or supporting multi-region, highly resilient enterprise platforms.Relevant industry certifications in cloud, AI/ML, Kubernetes, or architecture disciplines. TechnoGen