# Applied AI Architect, Cyber at Anthropic

- Company: Anthropic
- What the company does: Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems. Backed by Accel, Bessemer and General Catalyst.
- Company website: https://www.anthropic.com/
- Type: Startups (AI role)
- Level: Mid level
- Location: San Francisco, CA | New York City, NY
- Work setup: On-site
- Posted: 2026-09-02
- Apply by: 2026-10-17
- Apply: https://job-boards.greenhouse.io/anthropic/jobs/5387733008
- Page: https://www.1752.vc/careers/jobs/anthropic-applied-ai-architect-cyber/

## About the role

As an Applied AI team member at Anthropic, you will be a cybersecurity specialist working alongside our enterprise account teams to help the world’s largest organizations use Claude to secure the systems and software they build and run. You’ll combine deep security expertise with customer-facing skills to help customers along their cybersecurity journey with Claude, wherever they are starting from, and wherever they want to go.

## What they're looking for

- Experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, security consultant, or Technical Account Manager, or in a security team where you had to win investment from leadership
- Experience working with large enterprise customers, navigating complex buying cycles involving multiple stakeholders, and working alongside the vendors and partners already in the account
- The ability to explain the value and risk of security work to CISOs and executives, and to translate between security teams, engineering teams, and the business
- Comfort with Python and with CI/CD and cloud environments, and direct experience integrating tooling into an engineering workflow
- Familiarity with common LLM frameworks and tools, and practical experience using LLMs for security work — code review, vulnerability discovery, triage, or investigation
- Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities

Tags: Applied AI