Software Engineer, Cloud Inference Safeguards

<div class="content-intro"><h2><strong>About Anthropic</strong></h2> <p>Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p></div><h2 class="heading"><strong>About the role</strong></h2> <p>We are seeking a Software Engineer to build and operate the safety, oversight, and intervention mechanisms that protect Claude on third-party cloud service provider (CSP) platforms. As the engineer responsible for Safeguards on those surfaces, you will ensure that every request served through our CSP partners is monitored for misuse, enforced against policy, and compliant with the data residency and privacy commitments that enterprise CSP customers expect.</p> <p>You will sit at the seam between the Safeguards organization and the Cloud Inference team: taking classifiers, detection signals, and enforcement policies developed by Safeguards and making them run reliably inside a CSP partner’s infrastructure at serving-path latency and scale. You will own the architecture that lets our safeguards operate within those constraints without gaps. You will build, deploy and operate the multi-layered defenses that catch unwanted model behavior in real time, the telemetry pipelines that give us situational awareness over CSP traffic, and the enforcement hooks that let us act quickly when something goes wrong. Your work will directly determine whether Anthropic can ship frontier models on CSP platforms at the same safety bar we hold ourselves to on our first-party API.</p> <h2 class="heading"><strong>Responsibilities:</strong></h2> <ul> <li class="heading">Build, deploy and operate real-time safeguards infrastructure—classifiers, rate limits, enforcement actions, and intervention hooks—embedded directly in the third-party CSP inference serving path</li> <li class="whitespace-normal break-words pl-2">Design and maintain the data residency and privacy architecture for safeguards signals on CSP platforms, ensuring we can detect abuse and monitor model behavior while honoring regionalization boundaries and enterprise contractual commitments</li> <li class="whitespace-normal break-words pl-2">Develop telemetry, logging, and evaluation pipelines that give Safeguards, Policy, and T&amp;S operational teams situational awareness over CSP traffic and close the visibility gap between third-party and first-party serving</li> <li class="heading">Dive into the CSP serving stack to identify the lowest-impact points to gather signals or introduce interventions without degrading latency, stability, or overall architecture</li> <li class="heading">Hold a high operational bar: own on-call, drive root-cause analyses and postmortems for safeguards incidents on CSP platforms, and build systems that reduce the human intervention required to keep Claude safe</li> <li class="heading">Work closely with Safeguards research, Policy &amp; Enforcement, the Cloud Inference team, and CSP partner contacts to turn detection research and policy decisions into production enforcement that works inside a partner’s cloud.</li> </ul> <h2 class="heading"><strong>You may be a good fit if you:</strong></h2> <ul> <li class="heading">Have a Bachelor’s degree in Computer Science, Software Engineering, or comparable experience</li> <li class="heading">Have 4–10+ years of experience in high-scale, high-reliability software development, ideally with exposure to trust &amp; safety, anti-abuse, fraud, or integrity systems</li> <li class="heading">Are proficient in Python and comfortable working across the stack—from request-path services to data pipelines to internal tooling</li> <li class="heading">Think adversarially: you can see a system from a bad actor’s perspective, anticipate how they will respond to countermeasures, and design defenses in depth rather than single points of enforcement</li> <li class="heading">Have experience scaling infrastructure to accommodate rapid traffic growth while keeping latency and reliability within tight budgets</li> <li class="heading">Are deeply interested in the potential transformative effects of advanced AI systems and are committed to ensuring their safe development</li> <li class="heading">Have strong communication skills and can explain complex technical and risk tradeoffs to non-techni