Applied AI Security Architect - Healthcare & Life Sciences

Anthropic•New York City, NY

1d•Hybrid

About The Position

Anthropic is hiring an Applied AI Security Architect to serve as a trusted security expert for enterprise customers in healthcare and life sciences. This is a pre-sales technical role focused on security, compliance, networking, and data architecture. The architect will work directly with CISOs, security architects, compliance officers, and other technical leaders at large organizations, helping them understand Claude's security architecture, data handling practices, and deployment options, and designing solutions that meet regulatory and organizational requirements. The role requires significant experience in enterprise security, cloud architecture, and technical pre-sales within regulated industries. The successful candidate will help define how enterprises approach security and compliance as they adopt AI, including topics such as MCP, autonomous agents, and RBAC. The position involves regular travel to customer sites for workshops, architecture reviews, and strategic account meetings. Anthropic currently expects staff to work from one of its offices at least 25% of the time, although some roles may require more office time. The annual compensation range is $315,000–$380,000 USD in on-target earnings, including base salary and target sales commissions or bonuses. The minimum education requirement is a bachelor's degree or an equivalent combination of education, training, and/or experience, in a field relevant to the role as demonstrated through coursework, training, or professional experience. Anthropic offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office space for collaboration.

Requirements

At least 8 years of experience in enterprise security, cloud architecture, or technical pre-sales, with significant exposure to regulated industries, especially healthcare and life sciences.
Deep technical knowledge of enterprise security, including network security, identity and access management, encryption at rest and in transit, API security, and audit and logging requirements.
Experience navigating compliance frameworks relevant to healthcare and life sciences, including HIPAA, GxP, HITECH, SOC 2, PCI-DSS, and GDPR.
A track record of engaging with CISOs, security teams, and compliance officers at large enterprises.
Strong understanding of cloud architecture and deployment models across AWS, Azure, and GCP, including VPCs, private endpoints, and hybrid connectivity.
Excellent communication skills, including the ability to explain complex security topics to technical and non-technical audiences.
Ability to navigate ambiguity and move quickly in a rapidly evolving market.
Collaborative mindset and interest in helping customers adopt AI safely and responsibly in highly regulated industries.
Bachelor's degree or an equivalent combination of education, training, and/or experience in a field relevant to the role, as demonstrated through coursework, training, or professional experience.

Responsibilities

Serve as the primary security and compliance expert during customer engagements, answering technical questions about Claude's architecture, data flows, encryption, access controls, and deployment models.
Work with CISOs, security architects, and compliance teams at healthcare and life sciences organizations to understand security requirements and design solutions that meet regulatory standards.
Lead technical deep-dives on network architecture, data residency, API security, authentication and authorization, audit logging, and integration patterns for regulated environments.
Support enterprise security reviews, vendor assessments, and due diligence processes with detailed technical documentation and expert guidance.
Collaborate with GTM and Applied AI teams before and after customer engagements to align strategy, prepare for security discussions, and maintain continuity through deployment.
Partner with product and engineering teams to understand Claude's security capabilities, relay customer feedback about feature gaps and priorities, assess the feasibility of customer-specific requirements, and influence roadmap priorities.
Develop and maintain security-focused collateral, reference architectures, and best-practices documentation for regulated industries.
Lead enablement and create content for GTM and Applied AI teams to help them inform customers about key security requirements and considerations.
Travel regularly to customer sites for security workshops, architecture reviews, and strategic account meetings.