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 |
|---|---|---|
| Research Engineer, Machine Learning (Reinforcement Learning) Research Engineer focused on Reinforcement Learning to advance capabilities and safety of large language models. This role involves implementing novel approaches, contributing to research direction, and creating agentic models for tasks like computer use and autonomous software generation, while also improving reasoning abilities and developing prototypes. Key responsibilities include architecting RL infrastructure, designing training environments and methodologies, driving performance improvements, and collaborating across teams. | AgentPost-train | 10 |
| Research Engineer, Frontier Red Team (Autonomy) Research Engineer focused on building and evaluating autonomous AI systems and defensive agents to counter adversarial AI, with a focus on cyberphysical risks and AI safety. This role involves creating model organisms, developing defensive agents, and translating findings into policy-relevant demonstrations. |
| AgentEval Gate |
| 10 |
| Software Engineer, Safeguards Evals Software Engineer role focused on building and owning the evaluation infrastructure for an agentic investigation system. This involves designing experiments, constructing high-quality eval datasets, measuring agent performance, analyzing coverage gaps, and productionizing research into release pipelines. The role also involves building tooling for policy experts and constructing RL environments to improve safety investigation capabilities. | AgentEval Gate | 9 |
| Product Manager, Claude Code Model Performance Product Manager for Anthropic's Claude Code Model Performance team, responsible for driving model launches, building agentic evals, and translating research improvements into developer-facing outcomes. Requires experience building agentic evals, a systems thinking approach, and comfort with both research and engineering. | AgentEval Gate | 9 |
| Manager of Forward Deployed Engineering Manager of Forward Deployed Engineering at Anthropic, responsible for leading a team that embeds with strategic customers to ship production AI applications and agent deployments built on Claude. This player-coach role involves hiring, developing, and mentoring engineers, overseeing customer engagements, reviewing technical architectures, and collaborating with cross-functional teams to drive AI transformation for enterprise clients. | Agent | 9 |
| Forward Deployed Engineer The Forward Deployed Engineer (FDE) role at Anthropic focuses on embedding with strategic customers to drive the adoption of advanced AI applications. This role involves building production applications using Claude models within customer systems, delivering technical artifacts like sub-agents and agent skills, and providing deployment support. The FDE will work closely with post-sales, product, and engineering teams, combining engineering expertise with customer-facing skills to solve complex business challenges and represent Anthropic's mission. | Agent | 9 |
| Prompt Engineer, Agent Prompts & Evals This role focuses on prompt engineering and evaluation development for AI-first products and features, bridging model capabilities with user experience. It involves designing, testing, and optimizing prompts, building evaluation suites, supporting model launches, and contributing to prompt development frameworks. The role requires strong software engineering skills, LLM and prompt engineering experience, and understanding of evaluation methodologies. | AgentEval Gate | 9 |
| Research Engineer / Scientist, Frontier Red Team (Cyber) Research Engineer/Scientist focused on AI-enabled cybersecurity, developing tools and frameworks for autonomous vulnerability discovery, remediation, malware detection, and pentesting. Designs and runs experiments to evaluate AI cyber capabilities and builds infrastructure for AI systems operating in security environments. Translates findings into demonstrations for policymakers and collaborates with external experts. Senior candidates will set research strategy and own the technical roadmap. | AgentEval Gate | 9 |
| Research Engineer, Frontier Red Team (Hardware Lead) Research Engineer focused on leading hardware research for frontier AI safety, specifically interfacing LLMs with robotics and cyberphysical systems. The role involves designing and building systems, developing evaluations, creating training environments, and demonstrating capabilities to inform policy and build defenses against advanced AI risks. | AgentEval Gate | 9 |
| Applied AI Engineer, Startups Applied AI Engineer role focused on advising and partnering with AI-native startups to build on the Claude Developer Platform. Responsibilities include technical guidance, developing evaluation frameworks, designing scalable architectures, and creating technical resources to help startups succeed with Claude. Requires production experience with LLM-powered applications, agent architectures, and evaluation frameworks. | Agent | 9 |
| Research Engineer, Universes Research Engineer role focused on building next-generation agentic environments for training AI models. This role involves implementing novel approaches, contributing to research direction, designing training environments and methodologies, and building evaluations for capable and safe agentic AI. It blends research and engineering, with a focus on reinforcement learning and complex, long-horizon agentic tasks. | AgentPost-train | 9 |
| Forward Deployed Engineer Forward Deployed Engineer (FDE) embeds with strategic customers to drive AI adoption by shipping advanced AI applications built on Claude models. Collaborates with customer teams, Post-Sales, Product, and Engineering to solve business challenges using frontier AI, focusing on safety and reliability. Operates autonomously, builds customer relationships, and identifies new AI deployment opportunities. | Agent | 9 |
| ML/Research Engineer, Safeguards ML/Research Engineer focused on detecting and mitigating misuse of AI systems, building classifiers, monitoring for harms, evaluating agentic product safety, and conducting research on red-teaming and adversarial robustness. | AgentData | 9 |
| Research Engineer / Scientist, Tool Use Safety Research Engineer/Scientist focused on advancing the frontier of safe tool use in AI models, specifically addressing prompt injection, data exfiltration, adversarial attacks, and autonomous agent behavior with large tool sets. The role involves designing and implementing RL methodologies, building evaluations, and shipping research advances into production models, with a strong emphasis on safety and reliability. | AgentPost-train | 9 |
| Research Engineer / Scientist, Tool Use Research Engineer/Scientist focused on advancing the frontier of tool use for AI agents, aiming to improve accuracy, reliability, safety, and efficiency in complex workflows. The role involves defining research agendas, designing RL methodologies, building evaluations, and shipping research advances into production models, with a strong emphasis on safety and collaboration. | AgentPost-train | 9 |
| Machine Learning Systems Engineer - Data & Evaluation, Horizons Machine Learning Systems Engineer on the Horizons team, focusing on building software infrastructure for AI models to use tools effectively and measure performance. This involves extending the agent framework, creating evaluations, managing training data pipelines, and applying data science techniques to improve model capabilities. The role combines software development with empirical analysis to advance model performance and capabilities, working closely with research and production teams. | AgentEval Gate | 9 |
| Research Engineer, Knowledge Team Research Engineer focused on redesigning how Claude interacts with external data sources by designing new information architectures and training language models to use them. This includes performing finetuning and RL, building knowledge base eval sets, and designing/evaluating agentic search capabilities. | AgentPost-train | 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 |
| Research Engineer, Agents Research Engineer focused on advancing agentic AI systems, involving finetuning Claude for agentic tasks, developing tools for agents (memory, communication), prompt engineering, automated evaluation, and optimizing data mixes for model training. The role also involves creating and maintaining infrastructure for prompt iteration and testing. | AgentPost-train | 9 |
| Applied AI Engineer Applied AI Engineer role focused on being a technical advisor to customers deploying Claude (LLM). Responsibilities include guiding architecture, developing evaluation frameworks, and implementing cutting-edge LLM patterns via API. Requires strong Python skills and production experience with LLMs, including agent development and retrieval frameworks. | Agent | 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 |
| Applied AI Architect (Startups) This role focuses on partnering with startups to help them build and scale AI solutions using Anthropic's Claude Developer Platform. The architect will guide technical decisions, win evaluations, and provide feedback to product and engineering teams. Requires strong technical expertise in LLM application development and deployment, with a customer-facing background. | Agent | 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 |
| 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 |
| 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 |
| Applied AI Architect, Startups This role is for an Applied AI Architect on the Startups Applied AI team. The primary responsibility is to act as a technical partner for startups, helping them build on Anthropic's Claude Developer Platform. This involves architecting LLM solutions, winning technical evaluations, and guiding customers from discovery through deployment. The role requires deep technical expertise in building and deploying LLM-powered applications, understanding AI engineering best practices, and communicating complex AI concepts to technical founders and engineering teams. | Agent | 8 |
| Technical Deployment Lead Technical Deployment Lead responsible for delivering customized AI agent solutions to enterprise clients in highly regulated industries. This role involves managing end-to-end engagements, from scoping and technical discovery to production launch, and requires strong client-facing and technical leadership skills to guide the deployment of AI agents within critical business processes. | Agent | 8 |
| Applied AI Engineer, Beneficial Deployments Applied AI Engineer role focused on deploying AI to mission-driven organizations, advising on evals and agent architectures, building ecosystem tooling, and prototyping new agents. Requires production experience with LLM applications and a builder mindset. | AgentEval Gate | 8 |
| Applied AI Engineer Applied AI Engineer role focused on being a technical advisor to customers adopting Claude LLMs. Responsibilities include guiding architecture design, developing evaluation frameworks, and advising on implementation patterns for LLMs via API. Requires production experience with LLMs, strong Python skills, and expertise in common LLM implementation patterns. | Agent | 8 |
| Applied AI Engineer Applied AI Engineer to serve as a technical advisor for companies building on the Claude Developer Platform, focusing on implementation, agent design, and building AI applications. Responsibilities include technical engagements, developing evaluation frameworks, designing architectures, and creating technical resources. | Agent | 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 Applied AI Engineer role focused on being a technical advisor to customers adopting Anthropic's Claude LLM. Responsibilities include guiding customers through architecture design, developing evaluation frameworks, and implementing cutting-edge LLM patterns via API. Requires strong programming skills (Python) and production experience with LLMs, including agent development and evaluation. | 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 |
| 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 |
| 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 |
| 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 |
| Applied AI Architect, Startups This role focuses on partnering with startups to help them build and deploy LLM-powered solutions using Anthropic's Claude Developer Platform. The Solutions Architect will guide technical architecture decisions, win technical evaluations, and provide feedback to product and engineering teams. The role requires deep technical proficiency in building and scaling AI products, with hands-on experience in LLM application development, evaluation frameworks, and modern AI architectures. | 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 |
| Research Engineer, Societal Impacts Research Engineer focused on building infrastructure for studying the societal impacts of AI systems, including economic, wellbeing, and educational effects, as well as socio-technical alignment and novel capability evaluation. The role involves designing and implementing scalable technical infrastructure for experiments, data pipelines, and monitoring systems, working closely with researchers and cross-functional partners to generate insights and advance AI safety. | AgentEval Gate | 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+ 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 |
| Productivity Engineer This role focuses on building AI-powered productivity tools for sales teams, specifically for top-of-funnel activities like lead processing, prospecting, and routing. It involves developing Claude-powered automations and alert systems, integrating various data sources, and analyzing engagement data to improve sales processes. The goal is to enhance sales effectiveness and pipeline generation using AI. | Agent | 7 |
| Applied AI Architect, Public Sector Applied AI Architect role focused on pre-sales and technical advisory for public sector clients in UK and Northern Europe, helping them integrate and deploy Anthropic's Claude LLM. The role involves understanding customer requirements, architecting LLM solutions, guiding integration with existing systems, and developing evaluation frameworks, while adhering to public sector compliance and security guidelines. | Agent | 7 |
| Partner Business Systems & AI Operations Lead This role focuses on building and operating an AI automation layer within business systems, specifically for partner operations. It involves creating agentic workflows, LLM-driven processes, and AI-augmented tools to improve efficiency and reduce manual work. The role requires hands-on experience with LLMs and AI agents, integrating them into production processes, and ensuring responsible AI deployment with evals and guardrails. The domain is enterprise AI operations, with a primary focus on developing and deploying AI agents and automated workflows. | Agent | 7 |
| Applied AI Architect, Commercial This role is a Pre-Sales architect focused on becoming a trusted technical advisor helping customers understand the value of Claude and how they can successfully integrate and deploy Claude into their technology stack. The role involves being a hands-on builder, creating reusable blueprints, demos, and enablement. Responsibilities include partnering with account executives, serving as the primary technical advisor, supporting customers building with the Claude API, shipping working code, building prototypes and proof-of-concepts, developing eval frameworks, writing near-production examples, building reusable blueprints and demos, guiding technical architecture decisions, helping customers integrate Claude, and helping customers develop evaluation frameworks. | Agent | 7 |
| Global Applied AI Architecture Lead, Beneficial Deployments Lead a global team of Applied AI Architects who partner with mission-driven organizations to deploy Claude, focusing on responsible and effective adoption to accelerate their missions. This role involves setting strategy, scaling the team, influencing product roadmaps, and representing Anthropic as a senior technical leader in high-impact partnerships. | Agent | 7 |
| Technical Enablement Lead, Claude Code This role focuses on creating and delivering technical training and content for go-to-market teams, partners, and customers to enable them to effectively demonstrate and support Claude Code, an AI coding assistant. The lead will build demos, labs, and competitive positioning materials, and translate new features into field-ready content. The role requires strong programming skills and extensive use of AI coding tools. | Agent | 7 |