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The role involves enhancing AI system reliability, developing service objectives, monitoring infrastructure, leading incident responses, and collaborating across teams.

The Solutions Architect will serve as a technical advisor, guiding customers through the integration and deployment of AI technology, with a focus on developing scalable architectures and ensuring successful adoption of Claude systems.

As a Research Engineer, you'll enhance AI systems by optimizing model training, debugging across multiple layers, designing experiments, and maintaining operational reliability during model launches.

As a Solutions Architect, you will advise government agencies on integrating LLM solutions, guiding them through the adoption process and ensuring technical alignment with business goals.

As a Software Engineer, you'll architect and build data collection pipelines, collaborating with researchers and data operations to ensure high-quality data collection.

Manage customer success for nonprofit organizations integrating AI. Design engagement programs and enhance customer experience through technical guidance and collaboration.

Manage engineering efforts to improve AI model performance, oversee project execution, and guide team members in a dynamic environment.

As an Engineering Manager, you'll lead efforts to enhance model performance, manage team projects, and support professional growth in a dynamic environment.

Design and build real-time risk decisioning and tooling to prevent payments fraud. Implement fraud signals at scale, manage dispute and chargeback workflows, monitor metrics (loss, dispute, approval, false positives), lead investigations into emerging fraud patterns, and collaborate cross-functionally with finance, support, legal, data science, and external payment partners.

Own FP&A and operating P&L for Anthropic's datacenter sites, managing forecasts, budget-vs-actual, power cost models, invoice reconciliation, and contract operationalization. Lead site-level financial analysis and optimization, partner with infrastructure and accounting teams, and drive cost-reduction and operational outcomes.