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).
AI Frontier · AI lab
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 |
|---|---|---|
| Enterprise Account Executive, Industries Generalist This role is for an Enterprise Account Executive at Anthropic, focusing on selling their AI productivity SaaS solution to large enterprise organizations in the DACH region. The primary responsibility is to drive revenue growth by securing strategic deals, understanding customer needs, and collaborating with internal teams to refine the value proposition. While the role is within an AI company and involves selling AI solutions, the core craft is sales, not building or researching AI. | — | 5 |
| Applied AI Architect, Applied AI (Digital Natives Business) Applied AI Architect role focused on pre-sales, acting as a technical advisor to large enterprises for integrating and deploying Claude (LLM). Responsibilities include understanding customer requirements, architecting LLM solutions, guiding customers through adoption, creating technical content, and helping customers develop evaluation frameworks. Requires experience in technical customer-facing roles, cloud architectures, and familiarity with LLM frameworks. | Agent |
| 5 |
| Applied AI Architect, Industries This role is a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and how they can successfully integrate and deploy Claude into their technology stack. The architect will combine technical expertise with customer-facing skills to architect LLM solutions, guide customers from discovery through deployment, help customers develop evaluation frameworks, and identify common integration patterns. | — | 5 |