Applied AI Architect, Cyber

Anthropic•San Francisco, CA

8h•$240,000 - $315,000•Hybrid

About The Position

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. Enterprise security teams are at very different stages with AI: some are running their first experiments, others are ready to put Claude to work across their security program. They also span every kind of organization, each with its own priorities: regulated industries like financial services, insurance, and healthcare; strategic accounts like semiconductors, focused on protecting IP, securing industrial control systems, and handling export controls; and digital natives and public sector agencies with their own threat models. You’ll meet customers where they are, help identify where Claude can take on meaningful security work, and guide them from early pilots to lasting, production security workloads. Along the way, you’ll help security leaders explain the value of this work in terms their executives care about. Working closely with our Sales, Product, Research and Engineering teams, you’ll guide customers from technical discovery through deployment, and you’ll work with the partners in the security ecosystem — ISVs, systems integrators, and managed security providers — that already serve these customers, enabling them where they own the engagement rather than competing with them.

Requirements

5+ years of experience 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 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
A love of teaching, mentoring, and helping others succeed
Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems

Nice To Haves

Experience building or operating security automation at scale — scanning pipelines, triage systems, or detection engineering
Experience serving a broad range of customers and the security priorities that come with each: regulated industries such as financial services, insurance, or healthcare; strategic accounts such as semiconductors, where the concerns are protecting IP, securing industrial control systems, and handling export controls; and digital-native and public sector organizations
Experience working with or at a security ISV, systems integrator, or managed security provider
Contributions to open-source security tooling, published research, or CVEs to your name

Responsibilities

Partner with account executives and account architects to understand a customer’s security program, identify where Claude can take on real security work, and translate that into a technical plan and a business case
Serve as the primary security-domain technical advisor to large enterprise customers, from discovery and initial evaluation through deployment, coordinating internally across multiple teams and stakeholders to drive customer success
Move customers from one-time code scanning to sustained security workloads: application security embedded in the software development lifecycle, continuous automated penetration testing, alert triage and investigation, and threat intelligence that answers “does this new vulnerability affect us, and where”
Build and maintain the reference implementations, harnesses, and evaluation approaches customers use to run these workloads with Claude, and help customers adapt them to their own environments and controls
Design and run workshops and hands-on sessions where customer security teams engage directly with Claude on their own code and workflows
Work with security industry partners on shared accounts, enabling them to deliver Claude-powered security outcomes and drawing a clear line between what Anthropic delivers directly and what partners deliver
Deliver technical content across the full range of audiences: deep dives with security engineers and appsec teams, and value- and risk-focused conversations with CISOs and executives
Define and track how deeply each security workload is adopted across your accounts, and work with our Product and Engineering teams on the telemetry needed to measure it
Write the playbooks and best practices for each security workload that the rest of the field can reuse, including how Claude complements the security tooling customers already own
Identify common patterns and feature gaps and contribute insights back to our Product and Engineering teams
Develop reference customers who can speak to the value they are realizing
Travel occasionally to customer sites for workshops, technical deep dives, and relationship building
Maintain strong knowledge of the latest developments in LLM capabilities and in the security landscape, including the new classes of vulnerabilities and attacks that frontier models surface