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The role involves designing LLM architectures, developing training strategies, and translating research into production systems for AI models.

The ML Infrastructure Engineer will design distributed systems for ML training, optimize inference, build automation pipelines, and monitor production performance.

The Security Engineer will harden and isolate K3s clusters, enforce security policies, implement TPM, monitor incidents, and ensure secure workload management.

The K3s Network Engineer designs and maintains networking for K3s clusters, focusing on CNI plugins, IP management, and security integration.

The K3s Engineer is responsible for managing K3s deployments in hybrid architectures, ensuring reliable multi-node configurations and implementing GitOps workflows for declarative application management.

The Silicon Photonic IC Design Engineer will design and layout complex Photonic Integrated Circuits, collaborate across teams, and enhance design automation processes.

The Photonics Chip Lead Engineer will design and deliver advanced Photonic Integrated Circuits, lead development phases, and collaborate with multiple teams for product integration.

The Solutions Engineer role involves designing AWS-based customer experience solutions, integrating generative AI, and leading technical workshops with clients.

The Business Analyst - Customer Experience collaborates with stakeholders to define requirements, enhance customer journeys, and improve contact center strategies through data analysis and testing support.

Drive sales growth for Amazon Connect and AWS CX solutions, manage client relationships, and oversee the sales cycle to generate revenue.