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Lead customer-facing technical engagements focused on networking for HPC/cloud environments. Design, prototype, and deploy Kubernetes-based solutions, optimize customer workloads, contribute product feedback, run proofs-of-concept, and represent CoreWeave at events. Collaborate with engineering teams on product improvements and R&D for emerging solutions.

Build and scale a distributed platform supporting engineering simulations, agentic applications, and physical AI workflows. Responsibilities include designing distributed architecture, developing production Python services, optimizing distributed compute, implementing workflow orchestration, and contributing to CI/CD, testing, deployment, observability, reliability, and incident response. The role also involves mentoring engineers, making technical decisions, collaborating cross-functionally, interviewing candidates, and supporting end-to-end platform operations.

Lead the architectural evolution of an AI platform from monolithic to distributed systems. Design agent-ready services, write production Python, build distributed compute and workflow orchestration, and own CI/CD, testing, deployment, observability, reliability, and scaling. Mentor engineers, establish technical standards, guide cross-team decisions, collaborate with stakeholders, and support hiring. The role requires deep distributed systems, Kubernetes, AWS, workflow orchestration, data processing, security, and production reliability expertise.

The Account Solution Architect will engage with AI labs and enterprises to design and present infrastructure solutions, conduct technical discovery, and lead proof-of-concept sessions while supporting account expansion.