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The Staff Infrastructure Engineer will lead the strategy for agent-driven cluster lifecycle management, ensuring secure and scalable compute systems while mentoring junior engineers.

Drive new business and revenue growth for Anthropic’s AI API and SaaS solutions across EMEA insurance markets. Own the full enterprise sales cycle, develop insurance-specific strategies, navigate procurement and stakeholder ecosystems, identify new use cases, negotiate complex agreements, exceed quotas, inform product roadmaps, and improve sales methodologies and playbooks.

Leads end-to-end delivery of custom AI agent deployments for enterprise customers, including scoping, discovery, solution planning, engineering execution, stakeholder management, value measurement, and production deployment. Owns SOWs, roadmaps, requirements, risks, change management, executive communications, and delivery operations. Develops reusable playbooks and evaluation frameworks while navigating enterprise security, legal, procurement, compliance, and regulatory requirements. Travel to customer sites is expected for relationship building, adoption, and delivery acceleration.

Designs and delivers enterprise AI solutions using Claude. Acts as a pre-sales technical advisor, translating customer needs into scalable architectures, guiding evaluations and deployments, presenting to technical and executive audiences, and coordinating with Sales, Product, and Engineering. The role requires customer-facing architecture experience, enterprise integration expertise, Python familiarity, LLM knowledge, German and English fluency, and occasional customer travel.

Design, build, and operate Anthropic’s MCP proxy, OAuth, and token-management infrastructure. Own reliability through SLOs, on-call support, incident response, and postmortems. Develop enterprise administration controls and permission models, contribute to the MCP standard and Python and TypeScript SDKs, scope complex multi-month initiatives, drive cross-organizational alignment, and help productize advanced AI capabilities.

As a Software Engineer on the Safeguards team, you will build systems for monitoring AI models to promote safety and prevent misuse, ensuring oversight and user well-being.

Lead and scale a Forward Deployed Engineering team to deliver production AI solutions with enterprise customers: hire and mentor FDEs, oversee technical delivery, set playbooks and OKRs, collaborate with Sales/Product/Engineering, and travel to customer sites (25-50%).

Design, program, commission, and operate enterprise AV systems for new office builds, retrofits, and events across EMEA. Create AV schematics and documentation, lead deployments, coordinate with architects/contractors, manage vendors and integrators, develop automation for reliability, and support event production and global AV operations to deliver scalable, secure collaboration experiences.

Lead and deliver large-scale distributed infrastructure projects from ambiguous requirements to production. Make architecture decisions, ensure reliability, scalability, and security, collaborate with research/product teams, set technical standards, improve operational processes, and mentor engineers.

Responsible for managing the lifecycle of accelerator capacity, developing AI infrastructure, and driving cross-team initiatives while ensuring operational excellence and mentoring engineers.