Anthropic has 145 active AI-related job listings. The majority of these roles are focused on agents, comprising 28% of the total. Engineering is the most frequent function, with 74 listings, followed by Research with 51. The company is primarily hiring in the United States, with 118 positions, and the United Kingdom, with 22. Frequent tech tags include model_serving, evals, and agent_orchestration, suggesting a focus on deployment and evaluation of AI systems. In the last 30 days, Anthropic posted 16 new AI roles, a 47% decrease compared to the previous 30-day period.
Currently tracking 124 active AI roles, with 106 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $46k–$850k (avg $405k).
Anthropic currently has 132 active AI-related roles in our index. The most common open titles are: Applied AI Architect, Industries (2), Regional Research Economist, Economic Research (2), Research Engineer, Machine Learning (RL Velocity) (2), Research Engineer, Production Model Post-Training (2), Staff Software Engineer, AI Reliability Engineering (2). Most positions are in Engineering and Research.
Anthropic's active AI hiring is concentrated in: agents (28%), serving infrastructure (17%), post-training (14%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Anthropic is hiring AI talent in: United States (106 roles), United Kingdom (20 roles), Canada (6 roles), Ireland (5 roles).
Job postings at Anthropic most frequently reference: model serving, evals, llm observability, agent orchestration, inference infra.
In the past 30 days, Anthropic has posted 29 new AI-related roles. That is a +61% change versus the prior 30 days (18 → 29).
| Title | Stage | AI score |
|---|---|---|
| Engineering Manager, GPU (ML Accelerator) Engineering Manager for Anthropic's performance and scaling teams, focusing on optimizing compute resources for inference and training systems. The role involves leadership, technical contribution, bottleneck identification, and ensuring efficiency in large-scale ML systems, with a strong emphasis on GPU/accelerator programming and ML/OS internals. | ServeData | 9 |
| TPU Kernel Engineer TPU Kernel Engineer responsible for identifying and addressing performance issues across ML systems (research, training, inference), with a focus on designing and optimizing kernels for TPUs. Provides feedback to researchers on model performance impact. | ServePost-train |
| 9 |
| Research Engineer, Discovery Research Engineer focused on building and optimizing infrastructure for AI scientist training, evaluation, and inference. The role involves identifying and resolving infra blockers, developing evaluation frameworks, managing data pipelines, and optimizing training/inference for reinforcement learning in distributed environments. | ServeData | 9 |
| Research Engineer / Scientist, Alignment Science Research Engineer/Scientist focused on AI safety and alignment, conducting experiments to understand and steer AI behavior, with a focus on risks from powerful future systems. Involves collaboration with interpretability, fine-tuning, and red teaming teams. Explores scalable oversight, AI control, stress-testing, automated alignment research, alignment assessments, safeguards research, and model welfare. | Post-trainAgent | 9 |
| Research Engineer, Production Model Post-Training Research Engineer focused on post-training of large language models, including techniques like Constitutional AI and RLHF, to enhance model capabilities, alignment, and safety for production Claude models. Involves implementing, scaling, and optimizing these processes, conducting research for improvements, and developing evaluation tools. | Post-train | 9 |
| [Expression of Interest] Research Scientist / Engineer, Honesty Research Scientist/Engineer focused on honesty in language models, developing techniques to minimize hallucinations and enhance truthfulness. This involves data curation, classifier development, evaluation frameworks, RAG implementation, human feedback collection, prompting pipelines, RL environments, and tools for human evaluators. | Post-trainAgent | 9 |
| Research Engineer, Knowledge Team Research Engineer focused on redesigning how LLMs interact with external data sources by designing new information architectures and training models to use them. Responsibilities include implementing information architecture strategies, performing finetuning and RL, building knowledge base eval sets, and designing agentic search capabilities. Requires strong Python, ML research experience, and experience with LLMs. Experience with complex agentic systems, RAG, and distributed information retrieval is a plus. | AgentPost-train | 9 |
| Product Manager, Safeguards Rare Harms Product Manager for Anthropic's Safeguards team, focusing on building and deploying systems to ensure AI safety and prevent misuse. This role involves ideation, design, development, and UX for safeguards, working closely with research and product teams to mitigate risks associated with frontier models across various platforms. | Eval GateAgent | 8 |
| Engineering Manager, Cloud Safety Engineering Manager to lead the Cloud Safety team, responsible for scaling and optimizing Claude's serving infrastructure across Cloud Service Providers (CSPs). The role involves owning end-to-end safety, including API, inference, classifiers, fraud detection, data management, and operations, to ensure safe usage and enable the launch of new models and features at scale. | Serve | 8 |
| Data Operations Manager, Human Data This role focuses on building and scaling data operations for research teams working on frontier AI capabilities, including RLHF, safety, tool use, and agentic workflows. The Data Operations Manager will own data strategy, manage vendor partnerships, and implement systems to ensure high-quality training data, directly impacting model performance on critical capabilities. | DataPost-train | 8 |
| Product Engineer, Computer Use Product Engineer role focused on building and shipping AI-powered computer-use and browser-control product surfaces. This involves full-stack development, agent harness, and working with LLM APIs and agent frameworks. The role requires end-to-end ownership and iteration based on user feedback, with a focus on reliability and robustness of the agent harness. | Agent | 8 |
| Software Engineer, RL Data Software Engineer on the RL Data team responsible for building systems that produce high-quality reinforcement learning data for Claude. This includes data collection pipelines, human feedback tooling, execution environments, and quality assurance. The role involves end-to-end ownership of stack components, iterating on prompts and evals, developing QA frameworks, hardening execution environments, and collaborating with domain experts and operations partners. | DataPost-train | 8 |
| Engineering Manager, Cybersecurity Products Engineering Manager for AI-powered cybersecurity products, leading a team to prototype and ship products using frontier models. The role involves setting technical direction, partnering with research, and staying close to customers. It requires hands-on technical involvement, product instincts, and scaling the team. | AgentShip | 8 |
| Software Engineer, Claude Design Software Engineer to build and shape Claude Design, a product that lets users collaborate with Claude to create visual work. This is a frontend-leaning role focused on creating intuitive AI-generated design experiences, working closely with researchers and users to iterate and validate product concepts. | ShipAgent | 8 |
| Manager of Applied AI Architecture, Startups Manager of Applied AI Architecture for startups, leading a team of technical architects to drive adoption of frontier AI and help startups build AI-native products using the Claude Developer Platform. Focuses on technical partnership, building teams, defining playbooks, and influencing product roadmap. | Agent | 8 |
| Engineering Manager, Research Tools Engineering Manager for Anthropic's Research Tools team, focusing on building and improving systems for large-scale, distributed finetuning runs and enhancing researcher productivity. The role involves prioritizing team work, designing operational processes, coaching reports, and managing recruiting efforts to support rapid growth in AI model development and research. | Post-train | 8 |
| Manager of Applied AI Architecture, Enterprise Tech (Cyber) Manager of Applied AI Architecture, Enterprise Tech (Cyber) at Anthropic, responsible for leading a team that drives the adoption of Anthropic's AI products (Claude for Enterprise, Claude Code, API) within Enterprise Tech companies. This role involves technical guidance, pre-sales engagements, customer strategy, and ensuring the safe and reliable deployment of AI systems. | ShipAgent | 8 |
| Technical Specialist, Claude Code This role focuses on driving adoption of Anthropic's AI products (Claude Code, Claude Enterprise) within enterprise customers. It involves technical enablement, delivering workshops, building demo apps, and supporting strategic pilots, acting as a trusted technical voice to developers and leaders. The role bridges pre-sales and post-sale engagement to ensure deep integration and usage of AI capabilities. | Agent | 8 |
| Full-Stack Software Engineer, Reinforcement Learning Full-Stack Software Engineer to build platforms, tools, and interfaces for environment creation, data collection, and training observability for RL. The role involves owning product surfaces end-to-end, iterating on data collection strategies, and partnering with researchers to ship reliable products. | DataEval Gate | 8 |
| Anthropic Fellows Program — ML Systems & Performance This is a research fellowship program focused on AI systems and performance, with the goal of producing public outputs like paper submissions. Fellows will work on empirical projects, potentially involving building ML systems, data pipelines, or infrastructure for accelerators, using external infrastructure and open-source models. | Data | 8 |
| Manager of Applied AI Architecture, Partnerships Manager of Applied AI Architecture, Partnerships role at Anthropic, focused on driving adoption of frontier AI products (Claude for Enterprise, Claude Code, API) through system integrators and cloud partners. Responsibilities include leading a team of Partner Solutions Architects, establishing pre-sales engagement processes, co-building partner strategy, enabling partner AI practices, developing joint solutions, and supporting partner-led pre-sales engagements. Requires technical depth in enterprise AI deployments and experience managing technical teams. | Ship | 8 |
| Staff Software Engineer, Cloud Inference Safeguards Staff Software Engineer to build and operate safety, oversight, and intervention mechanisms for AI models (Claude) on third-party cloud service provider (CSP) platforms. This role ensures requests are monitored for misuse, enforced against policy, and compliant with data residency and privacy commitments. The engineer will integrate Safeguards into the CSP inference serving path, focusing on real-time enforcement, telemetry, and privacy architecture, while maintaining serving-path latency and scale. The work directly impacts the ability to ship frontier models on CSP platforms safely. | ServeEval Gate | 8 |
| Engineering Manager, Agent Prompts & Evals Engineering Manager to lead the Agent Prompts & Evals team, responsible for the infrastructure that enables shipping model and prompt changes with confidence. This includes eval frameworks, system prompt pipelines, and regression-detection systems. The team acts as a platform for model behavior, sitting between product engineering and research, and partners with other evals groups and product teams. The role requires leading and growing a team, owning the product-side eval platform and system prompt infrastructure, managing model launches, fostering collaboration, recruiting engineers, and shaping team investment in areas like frontier eval development and launch automation. | Eval GateAgent | 8 |
| Engineering Manager, Cloud Inference AWS Engineering Manager to lead the Cloud Inference team for AWS, responsible for scaling and optimizing Claude's inference, API, load balancing, capacity, and operations on AWS. The role ensures LLMs meet performance, safety, and security standards, and enhances global inference technology deployment. It focuses on increasing operational scale and accelerating the launch of new models and features. | Serve | 8 |
| Engineering Manager, Vertical AI Products (Multiple Roles) Engineering Manager for Vertical AI Products at Anthropic, focusing on building and shipping AI products for specific industries like financial services, life sciences, and healthcare. The role involves leading engineering teams, defining products, working with enterprise customers, and collaborating with research to improve AI models. The teams are often building products from scratch (0->1) or scaling existing ones. | ShipAgent | 8 |
| Senior Staff Software Engineer, API Senior Staff Software Engineer for Anthropic's Claude Developer Platform team, focusing on API Engineering. This role involves setting technical strategy for systems that make Claude accessible to developers at scale, ensuring reliability, capability, and growth. Responsibilities include defining multi-year technical strategy, leading complex engineering initiatives, making major architectural decisions, partnering with Research, Inference, Platform, Infrastructure, and Safeguards, and mentoring engineers. The role spans API Core, Capabilities, Knowledge, Distributability, and Agents, with a focus on shipping frontier model capabilities and agentic workflows. | ShipAgent | 8 |
| Staff Software Engineer, People Products Staff Software Engineer focused on building AI-native workflows and LLM-native features for internal people products at Anthropic. The role involves full-stack development, designing and implementing AI tools, evals, and prompts, and working directly with internal stakeholders to iterate quickly. Emphasis on autonomy, shipping products rapidly, and making independent product and architecture decisions in a low-structure environment. | Agent | 8 |
| Applied AI Engineer, Life Sciences (Beneficial Deployments) Applied AI Engineer role focused on deploying Claude in life sciences to accelerate scientific progress. The role involves partnering with research institutions, building agents integrated into scientific workflows, and developing ecosystem infrastructure like MCP servers, benchmarks, and agent skills. The goal is to make Claude a go-to tool for the life sciences ecosystem, from discovery to pharma pipelines. | Agent | 8 |
| Manager, Forward Deployed Engineering Manager for a new Forward Deployed Engineering team at Anthropic, focused on helping enterprise customers adopt Claude. This player-coach role involves hiring, developing, and leading a team of FDEs to ship production AI applications, build playbooks, and influence product direction. Requires strong leadership, technical mentorship, and customer-facing experience. | Ship | 8 |
| Research Engineer / Scientist, Societal Impacts Research Engineer/Scientist focused on designing and building infrastructure to study the societal impacts of AI systems, enabling research, policy, and product improvements. This role involves creating scalable systems for experiments, analysis, and monitoring, with a strong emphasis on collaboration and shipping impactful changes. | ShipEval Gate | 8 |
| Design Engineer, AI Capability Development (Education Labs) This role focuses on building and shipping AI-native product features that enhance human capability and skill development, operating as a technical lead within a research-focused team. The engineer will prototype, define technical direction, and collaborate across functions to integrate skill development principles into Anthropic's broader product strategy, measuring success by user capability growth. | Ship | 8 |
| Forward Deployed Engineer, Federal Civilian Forward Deployed Engineer for Anthropic's Applied AI team, embedding with federal civilian customers to drive AI adoption and ship advanced AI applications built on Claude models. Responsibilities include building production applications, delivering technical artifacts like sub-agents, providing deployment support, identifying repeatable patterns, and building customer relationships. Requires strong programming skills, production LLM experience (prompt engineering, agent development, evaluation, scaling), and experience with government agencies. | Agent | 8 |
| Research Scientist, Societal Impacts Research Scientist focused on analyzing real-world usage patterns of Claude, building evaluations to assess its behavior against its Constitution (safety, quality of advice), and partnering with fine-tuning, safeguards, policy, and interpretability teams to translate insights into model improvements. The role also involves generating insights on societal impacts to inform company strategy and policy, and sharing work through publications and presentations. | Post-trainEval Gate | 8 |
| Applied AI Engineer, Beneficial Deployments Applied AI Engineer focused on deploying AI to mission-driven organizations, advising on AI applications like evals and agent architectures, and building infrastructure to scale impact. Requires production experience with LLM applications and a builder mindset. | Agent | 8 |
| Biological Safety Research Scientist Research Scientist focused on biological safety for AI systems, applying technical skills to design and develop safety systems that detect harmful behaviors and prevent misuse. This role involves designing and executing capability evaluations, collaborating on training data and safety system training, analyzing performance, and stress-testing safeguards. The goal is to ensure biological safety is embedded throughout the model development lifecycle, balancing AI's potential in life sciences with preventing misuse. | Eval GatePost-train | 8 |
| Staff+ Software Engineer, Claude App Infrastructure Staff+ Software Engineer role focused on building the agentic layer and infrastructure for Claude App, enabling task execution, tool use, and safe interaction with external services. This involves designing and building sandboxed compute environments, state management for agent tasks, authentication/authorization, and observability tools for agent execution at scale. | AgentServe | 8 |
| Applied AI Engineer, Enterprise Tech Applied AI Engineer role focused on being a technical advisor to enterprise clients adopting the Claude API. Responsibilities include advising on architecture, developing evaluation frameworks, guiding customers through LLM implementation patterns, and creating scalable assets. Requires production experience with LLMs, strong programming skills, and customer-facing experience. | Agent | 8 |
| Applied AI Architect, Startups This role involves partnering with startups to help them build and scale LLM solutions on the Claude Developer Platform. The architect will guide them through technical evaluations, design architectures, and ensure successful deployment of AI systems, acting as a technical advisor and builder. | Agent | 8 |
| Technical Deployment Lead This role leads the technical delivery of custom AI agent solutions for enterprise customers in regulated industries. The Technical Deployment Lead will own engagements end-to-end, from SOW to production deployment, working with Forward Deployed Engineers to build solutions. Responsibilities include structuring SOWs, leading technical discovery, managing engineering execution, defining product scope, owning the customer relationship, measuring value and ROI, codifying reusable assets, navigating regulatory complexity, managing scope and change, running delivery operations, and traveling to customer sites. The role requires technical depth to hold architecture conversations and executive presence for C-suite briefings, with a focus on building a new function for scaling AI agent deployments. | Agent | 8 |
| Forward Deployed Engineer, Applied AI Forward Deployed Engineer to embed with strategic customers, drive AI adoption, and ship advanced AI applications using Claude models. Responsibilities include building production applications, delivering technical artifacts like sub-agents, providing deployment support, identifying deployment patterns, and maintaining knowledge of LLM capabilities. Requires 3+ years in a technical, customer-facing role with production LLM experience, strong Python skills, and high agency. | Agent | 8 |
| Product Manager, Claude Code Product Manager for Anthropic's Claude Code product suite, focusing on shaping how developers interact with AI, defining roadmaps, translating AI advances into features, and building an ecosystem around developer tools. Requires a strong technical background, product management experience, and understanding of AI coding tools and industry trends. | Ship | 8 |
| Staff + Sr. Software Engineer, Inference The Inference team at Anthropic is responsible for building and maintaining the systems that serve Claude to millions of users. This involves managing the entire stack from request routing to fleet-wide orchestration across diverse AI accelerators, with a dual mandate of maximizing compute efficiency and enabling research breakthroughs. The role requires significant software engineering experience, particularly with distributed systems, and experience with LLM inference optimization. | Serve | 8 |
| Engineering Manager, Inference Engineering Manager for Anthropic's performance and scaling teams, focusing on improving model performance and scaling inference and training systems. Responsibilities include front-line leadership, managing day-to-day execution, prioritizing work, and coaching reports. Requires management experience in technical environments, background in ML/AI, and interest in safe AI development. | ServeData | 8 |
| Performance Engineer This role focuses on optimizing the performance, throughput, and robustness of large-scale distributed machine learning systems. The engineer will identify and solve novel systems problems, implement low-latency sampling, adapt models for low-precision inference, optimize serving efficiency, and design fault-tolerant distributed systems. While not directly building ML models, the role is critical for enabling ML algorithms to run efficiently at scale. | Serve | 8 |
| Engineering Manager, Safeguards Review Tooling Engineering Manager for Anthropic's Safeguards Review Tooling team, focusing on building and scaling systems for AI safety investigation and enforcement. This role involves leading a team to develop tooling that supports human reviewers and integrates AI (Claude) for automation, with a strong emphasis on privacy, analytics, and a sandbox environment for rapid iteration. | AgentServe | 7 |
| Staff + Senior Software Engineer, Inference Software Engineer focused on building and maintaining the distributed systems that serve large language models (like Claude) to millions of users. The role involves maximizing compute efficiency, enabling research through high-performance inference infrastructure, and integrating new AI hardware and model architectures. | Serve | 7 |
| Staff+ Software Engineer, GRC Platform Software Engineer to build the platform for governance, risk, and compliance (GRC) at Anthropic. This role involves integrating data from various systems, creating automated checks, dashboards, and evidence for decision-making. The engineer will design and build data pipelines, integrations, and agentic workflows using Claude for tasks like evidence collection and analysis, translating policies into code, and developing real-time visibility dashboards. The goal is to turn manual compliance processes into scalable, reliable systems. | Agent | 7 |
| Staff + Sr. Software Engineer, Cloud Inference This role focuses on building and optimizing backend services and infrastructure for serving large language models (LLMs) like Claude across multiple cloud service providers (CSPs). The engineer will be responsible for API integration, intelligent request routing, inference execution, capacity management, and day-to-day operations, ensuring reliability, cost-effectiveness, and performance at massive scale. The role involves cross-functional collaboration with internal teams and CSP partners, CI/CD automation, and analyzing observability data. | Serve | 7 |
| Data Scientist, Safeguards This role focuses on building and scaling a data-driven culture within an AI company, specifically for safeguards. The Data Scientist will analyze user behavior, define key metrics, identify opportunities for product improvement, design and analyze experiments, and establish data best practices to inform product and commercial strategy for safe, frontier AI deployment. | Eval Gate | 7 |
| Member of Staff, AI & Rule of Law This role focuses on researching the impact of AI on democratic institutions and the rule of law, developing frameworks for AI safety evaluations with a legal lens, analyzing institutional vulnerabilities, and exploring novel legal issues and applications of AI in governance. The role requires deep expertise in both AI and law/government/policy, and involves using AI systems like Claude extensively. | Eval Gate | 7 |