AI Frontier · AI lab
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 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.
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 |
|---|---|---|
| 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 |
| 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 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 |
| Applied AI Engineer, Beneficial Deployments Applied AI Engineer focused on deploying AI for social impact partners, advising on AI systems, building ecosystem tooling, and prototyping agents. Requires production experience with LLM applications and a builder mindset. | 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 |
| 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 Specialist, Claude Code This role focuses on driving adoption of Anthropic's Claude Code product within enterprise customers. It involves technical enablement, running workshops, supporting pilots, building demo applications, and gathering field feedback to inform product development. The role requires a strong technical voice and the ability to engage with developers and department leaders on AI coding tools and agentic workflows. | Agent | 7 |
| Applied AI Architect, Industries Applied AI Architect role focused on pre-sales for enterprise customers, acting as a technical advisor to help them integrate and deploy Claude (LLM) into their technology stack. Responsibilities include understanding customer requirements, designing solutions, guiding architecture decisions, and helping customers develop evaluation frameworks. | 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 |