Software Engineer, Cloud Inference Safeguards

About Anthropic

Anthropics 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.

About the role

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.

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 partners 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.

Responsibilities:

• Build deploy and operate real-time safeguards infrastructureclassifiers rate limits enforcement actions and intervention hooksembedded directly in the third-party CSP inference serving path
• 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
• Develop telemetry logging and evaluation pipelines that give Safeguards Policy and T&S operational teams situational awareness over CSP traffic and close the visibility gap between third-party and first-party serving
• 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
• 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
• Work closely with Safeguards research Policy & Enforcement the Cloud Inference team and CSP partner contacts to turn detection research and policy decisions into production enforcement that works inside a partners cloud.

You may be a good fit if you:

• Have a Bachelors degree in Computer Science Software Engineering or comparable experience
• Have 410 years of experience in high-scale high-reliability software development ideally with exposure to trust & safety anti-abuse fraud or integrity systems
• Are proficient in Python and comfortable working across the stackfrom request-path services to data pipelines to internal tooling
• Think adversarially: you can see a system from a bad actors perspective anticipate how they will respond to countermeasures and design defenses in depth rather than single points of enforcement
• Have experience scaling infrastructure to accommodate rapid traffic growth while keeping latency and reliability within tight budgets
• Are deeply interested in the potential transformative effects of advanced AI systems and are committed to ensuring their safe development
• Have strong communication skills and can explain complex technical and risk tradeoffs to non-technical stakeholders across Policy Legal and partner organizations
• Enjoy working in a fast-paced early environment; comfortable with adapting priorities as driven by the rapidly evolving AI space

Strong candidates may also have experience with:

• Building trust and safety anti-spam fraud or abuse detection and mitigation mechanisms for AI/ML systems or the infrastructure to support these systems at scale
• Machine learning serving infrastructure (GPUs/TPUs inference servers load balancing) and the operational realities of running models in production
• Major cloud platform internalsIAM Network/service perimeter controls regional resource constraints cloud-native logging/monitoringor experience shipping software that runs inside a partners cloud rather than your own
• Data residency privacy engineering or compliance-constrained architectures particularly where telemetry has to stay within regional or contractual boundaries
• Working closely with operational and human-review teams to build custom internal tooling admin UX and alerting
• Adversarial mindset: has shipped defenses against motivated attackers before knows what it feels like when they adapt and can sprint to close a gap before it becomes an incident
• Comfortable operating at the intersection of platform/infra engineering and trust & safetyneither a pure infra engineer nor a pure T&S engineer but someone who can credibly do both
• Has shipped software that runs inside someone elses infrastructure (partner cloud embedded deployment or similar) and knows how to get things done when you dont control the whole stack
• Senior enough to own a cross-team seam independently drive consensus across orgs and make latency/safety tradeoff calls without escalation
• TypeScript or Rust and agentic coding tools such as Claude Code

Logistics

Minimum education: Bachelors degree or an equivalent combination of education training and/or experience

Required field of study:A field relevant to the role as demonstrated through coursework training or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently we expect all staff to be in one of our offices at least 25% of the time. However some roles may require more time in our offices.

Visa sponsorship:We do sponsor visas! However we arent able to successfully sponsor visas for every role and every candidate. But if we make you an offer we will make every reasonable effort to get you a visa and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy so we urge you not to exclude yourself prematurely and to submit an application if youre interested in this work. We think AI systems like the ones were building have enormous social and ethical implications. We think this makes representation even more important and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams remember that Anthropic recruiters only contact you some cases we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money fees or banking information before your first day. If youre ever unsure about a communication dont click any linksvisit for confirmed position openings.

How were different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact advancing our long-term goals of steerable trustworthy AI rather than work on smaller and more specific puzzles. We view AI research as an empirical science which has as much in common with physics and biology as with traditional efforts in computer science. Were an extremely collaborative group and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic including: GPT-3 Circuit-Based Interpretability Multimodal Neurons Scaling Laws AI & Compute Concrete Problems in AI Safety and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits optional equity donation matching generous vacation and parental leave flexible working hours and a lovely office space in which to collaborate with colleagues. Guidance on Candidates AI Usage:Learn aboutour policyfor using AI in our application process