Applied AI Security Architect - Healthcare & Life Sciences

Job summary

Responsibilities

As an Applied AI Security Architect, you will serve as Anthropic's trusted security expert for our most demanding enterprise customers. You'll engage directly with CISOs, security architects, compliance officers, and technical leaders at some of the largest healthcare and life sciences…

• Serve as the primary security and compliance expert during customer engagements, addressing technical questions about Claude's architecture, data flows, encryption, access…
• Partner with CISOs, security architects, and compliance teams at healthcare and life sciences organizations to understand their security requirements and design solutions that…
• Lead technical deep-dives on network architecture, data residency, API security, authentication/authorization, audit logging, and integration patterns for regulated environments.
• Support enterprise security reviews, vendor assessments, and due diligence processes by providing detailed technical documentation and expert guidance.
• Collaborate with GTM and Applied AI teams before and after customer engagements to align on strategy, prepare for security discussions, and ensure continuity from initial…

What they're looking for

• 8+ years of experience in enterprise security, cloud architecture, or technical pre-sales, with significant exposure to regulated industries (healthcare and life sciences).
• Deep technical knowledge of enterprise security concepts: network security, identity and access management, encryption (at rest and in transit), API security, and audit/logging…
• Experience navigating compliance frameworks relevant to healthcare and life sciences organizations (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 (AWS, Azure, GCP), including VPCs, private endpoints, and hybrid connectivity.

Tech stack

• AWS
• Azure
• GCP