Anthropic Jobs

Anthropic

Our mission on the Connectivity team is to make Claude the most connected AI. As agents take on more real-world work, we're taking a leading role in defining how they get access to external systems — safely, with the right permissions, and in ways enterprises can trust. We ship for claude.ai, Claude Code, Cowork, and the API. We own the MCP proxy that routes every tool call and the OAuth and token management that keeps connections authenticated. We're also core contributors to the MCP spec — now an open standard under the Linux Foundation — and maintain the official Python and TypeScript SDKs. We're looking for an experienced engineering leader to lead a team of Connectivity engineers based in London. The Connectivity team spans San Francisco and London, and you'll work closely with engineering leadership and partner teams in San Francisco to set direction and deliver together across both sites. You'll lead a team working on problems where reliability and enterprise trust are the bar: token refresh at scale, admin controls that let IT govern what agents can do, and proxy infrastructure that stays up when partner servers don't.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to ensure AI is safe and beneficial. The Capacity Engineering team plays a crucial role in managing one of the industry's largest and fastest-growing infrastructure fleets. This team is responsible for ensuring all infrastructure resources are accounted for, well-utilized, and efficiently allocated. As an engineer on this team, you will develop the production systems that power these efforts, including data pipelines for telemetry ingestion, observability tools for real-time fleet health visibility, and performance instrumentation to measure hardware utilization across various workloads. You will write production-quality code, operate at scale with Kubernetes-native infrastructure, and significantly influence decisions regarding Anthropic's substantial infrastructure spend. This role involves close collaboration with research engineering, infrastructure, inference, and finance teams, requiring comfort across data engineering, systems engineering, and observability in a high-autonomy environment.

Anthropic

The Safeguards team is seeking engineers to build the Review Tooling team, which develops systems used by humans and AI to investigate potential harms and take enforcement actions across Anthropic's products and cloud platforms. This foundational role involves owning the tools safety investigators rely on, including analytics, privacy-preserving primitives, and a sandbox environment for rapid iteration. You will also drive the scaling of review through automation, enabling AI to augment human capabilities while keeping human judgment central where it matters most. The speed, clarity, and reliability of this tooling are critical for identifying harmful behavior, making sound enforcement decisions, and feeding signal back into model training. You will collaborate closely with policy, operations, data science, legal, and privacy teams to ensure effective, accurate, and trustworthy enforcement systems.

Anthropic

Anthropic's Life Sciences team is building a world-class research group focused on making fundamental biological discoveries by combining cutting-edge AI with hands-on biological research. We are seeking an exceptional Research Scientist to join this high-impact team, operating at the intersection of computational and experimental biology. This role offers a unique opportunity to shape how AI transforms biological research, working with leading AI researchers on problems that matter deeply for scientific understanding and biomedicine. You will have substantial access to Claude and will help establish how computational biology operates at Anthropic, guiding the development of transformative AI systems.

Anthropic

Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.

Anthropic

Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms. As a Staff Software Engineer on our Inference team, you will work end to end, identifying and addressing key infrastructure blockers to serve Claude to millions of users while enabling breakthrough AI research.

Anthropic

Anthropic is seeking experienced full-stack engineers to join teams focused on current and emergent AI products. You will be a technical leader, taking end-to-end ownership of the user experience for products like Claude.ai, the Anthropic API, and enterprise deployments. This role involves partnering with product leaders, designers, and researchers to translate new model capabilities into user-facing features. You will own technical quality across the stack, including performance, accessibility, reliability, and developer experience, with the goal of scaling solutions to millions of global users. The teams are focused on various areas including developer tools, beneficial deployments for non-profits and educational institutions, vertical AI products for finance and life sciences, enterprise AI solutions, and public sector applications.

Anthropic

Anthropic is seeking a Commercial Counsel, GTM to join their legal team and play a key role in bringing cutting-edge AI technology to users, researchers, and enterprises globally. This position involves close collaboration with experienced colleagues, focusing on supporting Go-to-Market teams, managing enterprise agreements, and handling customer negotiations. The role also offers exposure to commercial work such as research collaborations, product partnerships, and procurement, as well as opportunities to engage with AI safety and research agreements, including threat-sharing frameworks and responsible AI development standards. This is an ideal opportunity for a motivated attorney to deepen their expertise in commercial transactions while contributing to responsible AI development.

Anthropic

Anthropic is seeking a talented and driven Workday Business Systems Analyst to join our People Systems team. This role will own the technical configuration, testing, and operational excellence of our Workday HRIS across Payroll, Absence, and Time Tracking (PATT) and Core Human Capital Management (HCM) domains. The ideal candidate is passionate about leveraging AI and internal tooling to enhance People Systems effectiveness, questioning traditional approaches to find innovative solutions. You will be a system expert, providing both strategic guidance and hands-on delivery in a fast-paced, high-growth environment, partnering with various departments to ensure the HRIS is secure, scalable, and a business enabler.

Anthropic

Anthropic is seeking a senior individual contributor to join its Finance Analytics & Business Intelligence team. This role will be responsible for defining how the company measures the value of its AI models and its market position. The work involves tackling open-ended, technical questions about model value per dollar and token, comparing performance against industry frontiers, and informing pricing and packaging decisions. The individual will act as an analytical lead, collaborating closely with Product Finance and Data Science teams to build robust measurement systems and provide data-driven insights.

Anthropic

Anthropic is seeking a seasoned Privacy Engineer to join its growing team and help scale privacy infrastructure within the AI landscape. This individual contributor role involves providing technical and cultural leadership, architecting privacy-preserving systems, and driving the implementation of cutting-edge privacy technologies across AI infrastructure. The position operates at the intersection of privacy engineering, AI safety, and distributed systems to address novel challenges in protecting user data at scale.

Anthropic

Anthropic is seeking a Safeguards Enforcement Analyst focused on Violence & Extremism to build and execute operational workflows for assessing AI model behavior, driving enforcement decisions, and developing evaluations across a range of policy areas. This role involves detecting and mitigating misuse of AI systems that could lead to real-world harm, including issues related to weapons, critical infrastructure, violent extremism, and threats of violence. Candidates should be aware that this position may involve exposure to explicit and disturbing content.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. The Cloud Inference team is responsible for scaling and optimizing Claude to serve massive audiences across AWS, GCP, Azure, and other cloud providers. This involves end-to-end ownership of Claude on each platform, from API integration and request routing to inference execution and capacity management. The model & inference launch team specifically focuses on the validation pipeline for the inference server and load balancer, ensuring every inference change, including model launches and performance improvements, is deployed with correctness, performance, and reliability. This high-leverage infrastructure work is critical for fast and cost-effective deployment of frontier models and features, directly impacting compute capacity and the speed at which innovations reach production.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. We are a growing team of researchers, engineers, policy experts, and business leaders dedicated to this mission. We are looking for a Security Engineering Manager to lead our Secure Frameworks Research team. This team develops high-leverage security frameworks and libraries that ensure secure model development and prevent vulnerabilities through thoughtful design. You will collaborate across Anthropic to own critical security foundations, including cryptographic frameworks and secure serialization and authorization systems, enabling teams to work securely without needing to be security experts.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to ensure AI is safe and beneficial for society. As a Research Engineer on the Alignment Science team in London, you will design and execute machine learning experiments to understand and steer the behavior of advanced AI systems. You will focus on AI safety, particularly risks from future human-level AI systems, collaborating with teams like Interpretability and Frontier Red Team. The role involves exploratory research in areas such as AI Control and Alignment Stress-testing, aiming to make AI helpful, honest, and harmless.

Anthropic

The Frontier Red Team (FRT) is a focused technical research team dedicated to making the world safer in the era of advanced AI. This role involves researching and ensuring safety with self-improving, highly autonomous AI systems, particularly those with cyberphysical capabilities. You will build the tools and frameworks needed to defend against advanced AI-enabled cyber threats, working at the intersection of AI capabilities research, cybersecurity, and policy. This applied research has real-world stakes, informing company decisions, shaping policy discourse, and building technical defenses for the future of AI.

Anthropic

The Universes team within Research is responsible for training AI models to perform complex, difficult, long-horizon agentic tasks in ultra-realistic settings. We design and implement novel training environments that go far beyond what models can do today — environments where models learn to navigate ambiguity, handle interruptions, maintain context over extended interactions, and exercise judgment in open-ended scenarios. We're looking for Research Engineers to help us build the next generation of training environments for capable and safe agentic AI. This role blends research and engineering responsibilities, requiring you to both implement novel approaches and contribute to research direction. You'll work on fundamental research in reinforcement learning, designing training environments and methodologies that push the state of the art, and building evaluations that measure genuine capability.

Anthropic

The Interpretability team at Anthropic is dedicated to reverse-engineering how trained language models work, believing that a deep mechanistic understanding is crucial for ensuring the safety of advanced AI systems. This role focuses on mechanistic interpretability, aiming to map neural network parameters to meaningful algorithms, akin to performing 'biology' or 'neuroscience' on neural networks. The team's work involves developing tools and methods to understand complex models, addressing challenges like 'superposition' and decomposing models into interpretable components. Collaborations with other Anthropic teams, such as Alignment Science and Societal Impacts, are integral to applying this research to enhance AI safety.

Anthropic

Anthropic is seeking an exceptional Research Scientist to join its Life Sciences team. This role focuses on making Claude a superhuman life sciences research assistant, operating at the intersection of machine learning, software engineering, and biology. You will directly improve model capabilities on scientific tasks through post-training, evaluation design, and RL environment development. As a core member, you will translate deep biological domain knowledge into model training objectives, benchmarks, and agentic workflows, helping establish Anthropic as a leader in AI-accelerated biology and shaping how frontier models reason about computational biology tasks. This is a unique opportunity to shape how frontier AI models learn biology, working alongside top AI researchers on problems crucial for human health and scientific understanding.

Anthropic

As an Applied AI team member, you will serve as a Pre-Sales architect, becoming a trusted technical advisor to large enterprises across India and the Asia-Pacific region. Your role will involve helping these organizations understand the value of Claude and envision how to successfully integrate and deploy it into their technology stacks. You will combine deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while upholding high standards for safety and reliability. Working closely with Sales, Product, and Engineering teams, you will guide customers from initial technical discovery through successful deployment, leveraging your expertise to help them understand Claude's capabilities, develop evaluations, and design scalable architectures.