Applied AI Architect, Security Specialist

About the role

Anthropic’s Applied AI team helps the world’s largest organizations put Claude to work. As a Cybersecurity Specialist on Applied AI, you’ll be part of an overlay team of domain experts who sit alongside our enterprise account teams and bring deep security expertise to the accounts where it matters most.

You won’t own an account. You’ll be the security expert the account team pulls in to win and grow the most important security conversations: helping CISOs and security leaders see where Claude can take on real security work, then guiding them from early pilots to durable, production workloads. You’ll cover a portfolio of enterprise accounts across regulated industries like financial services, insurance, and healthcare, strategic accounts like semiconductors (IP protection, industrial control systems, export controls), and digital natives and public sector agencies, each with its own threat model.

How this team works

• You partner with account executives, account architects, and generalist Applied AI engineers, who own the customer relationship and the broader technical engagement. You bring the security depth they don’t have time to build.
• You work across many accounts at once, so the playbooks, reference implementations, and evaluation approaches you build are reused across the field, not just for one customer.
• You are the connection point between the field and Anthropic’s Product, Research, and Engineering teams, turning what you see in customer security programs into product feedback.
• You work alongside ISVs, systems integrators, and managed security providers who already serve these customers, enabling them where they own the engagement rather than competing with them.

Responsibilities

• Join account teams to understand a customer’s security program, identify where Claude can do meaningful security work, and turn that into a technical plan and business case
• Serve as the security-domain technical advisor on strategic enterprise accounts, from discovery through deployment
• Move customers from one-time code scanning to sustained security workloads: application security in the SDLC, continuous automated penetration testing, alert triage and investigation, and threat intelligence that answers “does this new vulnerability affect us, and where”
• Build and maintain reference implementations, harnesses, and evaluation approaches, and help customers adapt them to their own environments and controls
• Run workshops and hands-on sessions where customer security teams use Claude on their own code and workflows
• Equip partners to deliver Claude-powered security outcomes, with a clear line between what Anthropic delivers and what partners deliver
• Speak credibly to every audience, from appsec engineers to CISOs and executives, including how to explain the value and risk of security work in business terms
• Define and track adoption depth for each security workload across your accounts, and work with Product and Engineering on the telemetry to measure it
• Write the playbooks and best practices the rest of the field can reuse, including how Claude complements the security tooling customers already own
• Develop reference customers who can speak to the value they’re realizing
• Stay current on frontier LLM capabilities and the new classes of vulnerabilities and attacks they surface
• Travel occasionally to customer sites for workshops and technical deep dives

You may be a good fit if you have

• 5+ years in security roles, with hands-on depth in at least two of: application security and secure SDLC, offensive security and penetration testing, detection and response, or threat intelligence and vulnerability management
• Experience in a technical customer-facing role (Solutions Architect, Sales Engineer, security consultant, TAM), or on a security team where you had to win investment from leadership
• Experience with large enterprise customers and complex, multi-stakeholder buying cycles, including working alongside the vendors and partners already in the account
• The ability to translate between security teams, engineering teams, and executives
• Comfort with Python, CI/CD, and cloud environments, plus hands-on experience using LLMs for security work such as code review, vulnerability discovery, triage, or investigation
• A love of teaching and a collaborative approach to working across teams and balancing competing priorities