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 24 new AI-related roles. That is a -27% change versus the prior 30 days (33 → 24).
| Title | Stage | AI score |
|---|---|---|
| Applied AI Architect Lead, EMEA Commercial Lead a team of Applied AI Architects in EMEA to drive the adoption of Anthropic's AI products (Claude for Enterprise, Claude Code, API) across commercial accounts. This player-coach role involves managing a team, owning technical wins on key accounts, developing go-to-market strategies with sales, and ensuring customer success through technical expertise and consultative sales. | Ship | 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 |
| 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 |
| Staff Software Engineer, Inference Staff Software Engineer on the Inference team responsible for building and maintaining systems that serve Claude to millions of users. Focuses on maximizing compute efficiency and providing high-performance inference infrastructure for research, tackling complex distributed systems challenges across diverse AI accelerators. | Serve | 8 |
| Senior Software Engineer, Inference Senior Software Engineer on the Inference team responsible for building and maintaining systems that serve Claude models to millions of users. Focuses on maximizing compute efficiency and providing high-performance inference infrastructure for research. | Serve | 8 |
| Staff Software Engineer, AI Reliability Engineering Staff Software Engineer focused on AI Reliability Engineering for large language model serving systems. Responsibilities include developing SLOs, designing monitoring and observability systems, implementing high-availability infrastructure, and leading incident response for critical AI services. This role partners with teams across Anthropic to improve reliability across serving paths. | Serve | 7 |