Anthropic
AI Frontier · AI lab
- HQ
- San Francisco, US
- Founded
- 2021
- Size
- 1,500+
- Website
- anthropic.com
- Blog
- anthropic.com
Products
AI Frontier · AI lab
Anthropic currently has 151 active AI-related job listings, with a significant focus on roles related to agents, which constitute 32% of their openings. Engineering is the most frequent function, followed by Research. The majority of their hiring is concentrated in the United States. Frequent technical tags include evals, model_serving, and agent_orchestration, suggesting a focus on the practical deployment and management of AI systems.
Currently tracking 127 active AI roles, down 32% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $46k–$850k (avg $406k).
Anthropic currently has 149 active AI-related roles in our index. The most common open titles are: 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), Product Manager, Safeguards Rare Harms. Most positions are in Engineering and Research.
Anthropic's active AI hiring is concentrated in: agents (31%), serving infrastructure (15%), post-training (15%). 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 (130 roles), United Kingdom (18 roles), Canada (6 roles), Ireland (3 roles).
Job postings at Anthropic most frequently mention: Machine Learning, AI Safety, Production ML Systems, System Design, Large Language Models (LLMs).
In the past 30 days, Anthropic has posted 32 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| 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. |
| 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 |
| Product Manager, Safeguards (Verticals) 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 deployment of safeguards, working closely with research and product teams to create detections, evals, interventions, and tools for risk mitigation. The PM will drive strategy, prioritize features, collaborate with cross-functional teams, and develop metrics to assess performance and inform future planning. | Eval GateAgent | 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 |
| Staff+ Software Engineer, Privacy Staff+ Software Engineer, Privacy at Anthropic. This role focuses on establishing and leading the privacy engineering function for AI systems, architecting privacy-preserving systems, implementing privacy-enhancing technologies, and providing technical leadership. It involves working at the intersection of privacy engineering, AI safety, and distributed systems, with responsibilities including designing privacy-preserving architectures for training and inference, building privacy infrastructure, translating regulations into technical implementations, and leading privacy reviews. The role requires experience with privacy engineering principles, Python/Go, production systems at scale, data governance, and privacy regulations. | DataServe | 7 |
| Engineering Manager, Search Engineering Manager to lead the Search Platform team, responsible for the search stack behind Claude, including indexes, retrieval, ranking, and serving infrastructure. The role involves owning the strategy, roadmap, search quality, and operating the platform at scale, with a product dimension to define search experience. Requires strong technical depth, product mindset, and experience managing engineering teams and search systems. | ServeAgent | 7 |
| Staff Software Engineer, Environments Infrastructure Staff Software Engineer focused on building and maintaining the infrastructure for reinforcement learning environments at Anthropic. This role involves designing APIs, frameworks, and tooling to support researchers in building and operating AI agents, with a focus on stateful distributed systems, agent runtimes, and productionizing research for AI capabilities improvement. | AgentData | 7 |
| Recruiting Solutions Engineer This role focuses on enabling recruiters to effectively use AI (Claude) in their hiring workflows. It involves educating users, providing technical support, and building prototypes for AI-assisted hiring processes. The engineer will translate recruiter-built skills into reusable assets and design evaluation approaches for these workflows. | Agent | 7 |
| Safeguards Enforcement Analyst, Violence & Extremism This role focuses on building and executing operational workflows to assess AI model behavior, drive enforcement decisions, and develop evaluations for violence and extremism policy areas. It involves designing automated enforcement systems, creating evals to measure model performance, and partnering with engineering and data science teams to optimize detection and enforcement. The role also requires reviewing flagged content, identifying misuse patterns, and staying updated on emerging threats and AI policy enforcement best practices. | Eval GateAgent | 7 |
| Staff+ Software Engineer, Safeguards Review Tooling Staff+ Software Engineer for Anthropic's Safeguards Review Tooling team. This role focuses on building internal tools and platforms for safety investigators to identify and act on harmful behavior. Responsibilities include developing investigation tooling, a platform layer for reusable APIs and data storage, scaling review through automation with Claude, and partnering with various teams to ensure effective enforcement systems. The role emphasizes building guardrails for sensitive tools, instrumenting shipped tools, and ensuring tooling evolves with privacy and data retention commitments. Experience with full-stack or platform engineering, shipping internal tools, and cross-functional collaboration is required. Preferred qualifications include experience with trust and safety tooling, privacy/compliance constraints, integrating LLMs/agentic systems, and building developer platforms. | Agent | 7 |
| Technical Enablement Lead, Claude Platform This role focuses on enabling Anthropic's go-to-market teams by creating technical content, demos, and hands-on labs for the Claude Developer Platform. The Technical Enablement Lead will translate new platform capabilities into field-ready materials, deliver training, coach technical sellers, and provide feedback to the product team. The role requires hands-on experience with LLM APIs and agents, including tool use and agent frameworks, and experience in a customer-facing technical role. | Agent | 7 |
| Staff + Senior Software Engineer, Inference Deployment Software Engineer focused on designing and building the deployment infrastructure for AI inference services across various hardware accelerators (GPUs, TPUs, Trainium). The role involves optimizing deployment orchestration, capacity-aware scheduling, and observability to ensure safe, quick, and uninterrupted production releases, managing resource constraints and minimizing cycle time from code merge to production. | Serve | 7 |
| 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 Launch Engineering Staff + Sr. Software Engineer role focused on scaling and optimizing Claude's inference on cloud platforms (AWS, GCP, Azure). Responsibilities include owning the end-to-end product of Claude on each cloud platform, API integration, intelligent request routing, inference execution, capacity management, and day-to-day operations. The role involves validating inference server and load balancer changes, ensuring correctness, performance, and reliability. Key tasks include bringing up inference for new model architectures, integrating new inference features, fixing cross-platform differences, designing and owning CI/CD infrastructure, driving down cycle time for validation, and analyzing observability data for bottlenecks and regressions. | Serve | 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 |
| Performance Engineer, Inference Systems Performance Engineer for Anthropic's inference fleet (Claude), focusing on throughput, latency, reliability, and correctness. The role involves cross-layer performance investigations, improving correctness evaluation pipelines, building observability tools, and partnering with component teams to implement optimizations. Requires strong performance engineering, Python, and data analysis skills, with a genuine interest in correctness as an engineering discipline. | ServeEval Gate | 7 |
| Manager of Solutions Architecture, Applied AI (Enterprise Tech) Manager of Solutions Architecture, Applied AI (Enterprise Tech) at Anthropic. This role leads a pre-sales team focused on driving the adoption of frontier AI for enterprise customers in verticals like fintech and cybersecurity. Responsibilities include hiring, managing, and guiding Solutions Architects, acting as a technical sponsor for strategic customers, advising on AI adoption strategies and use case scoping, and partnering with sales leadership to drive product adoption. The role requires deep technical proficiency with enterprise AI use cases, API integrations, and LLM deployments, along with strong pre-sales management experience. | Ship | 7 |
| Staff + Sr. Software Engineer, Cloud Inference Launch Engineering Staff + Sr. Software Engineer role focused on scaling and optimizing Claude's inference on cloud platforms (AWS, GCP, Azure). The role involves owning the end-to-end product of Claude on each cloud, including API integration, request routing, inference execution, capacity management, and day-to-day operations. Key responsibilities include validating inference server and load balancer changes, ensuring correctness, performance, and reliability across platforms, and driving down cycle times for model launches and feature integrations. The role requires strong software engineering experience in distributed systems and experience with cloud platforms, with a focus on building automation and test infrastructure for inference services. | Serve | 7 |
| Data Scientist, Supply This role focuses on optimizing compute allocation for AI systems by building testing frameworks, connecting compute decisions to user outcomes, and partnering with infrastructure and research teams. The goal is to ensure efficient use of scarce AI resources and translate data-driven insights into operational changes that impact how AI reaches users at scale. | Serve | 7 |
| Staff+ Software Engineer, Public Sector Staff+ Software Engineer for Anthropic's public sector team, focusing on building and scaling AI applications for governments. This role involves full-stack development, customer collaboration, and adapting Claude for government workflows, particularly in national security and public services. The position requires experience with AI/ML models and shipping enterprise/government-grade products, with a strong emphasis on public sector experience and adapting AI for critical operations. | Ship | 7 |
| Product Management, Human Data Platform Product Manager for Anthropic's Human Data Platform, focusing on building systems to collect data that improves AI models. Responsibilities include owning product direction for data tooling, partnering with engineering, understanding research and training approaches, identifying patterns for reusable infrastructure, understanding vendor pain points, and defining KPIs related to data collection and model impact. | Data | 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 |
| Anthropic Fellows Program — The Anthropic Institute Fellows (Economics & Policy) This is a research fellowship program focused on empirical projects related to AI's economic and societal impacts, with the goal of producing public outputs like research papers. Fellows will use external infrastructure and work with mentors to explore areas such as AI's economic effects, labor markets, and AI-enabled cyber/bio capabilities. | Data | 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 |