Applied AI Security Architect - Healthcare & Life Sciences
$315k - $380k • New York City, NY; San Francisco, CA | New York City, NY
Posted 13h ago
About the job
As an Applied AI Security Architect, you will be Anthropic's primary security expert for enterprise customers in the healthcare and life sciences sectors. You will engage directly with CISOs, security architects, and technical leaders to address their concerns about deploying Claude safely and securely. This pre-sales technical role focuses on security, compliance, networking, and data architecture, requiring deep expertise in enterprise security, regulatory compliance, and data protection. You will help customers understand Claude's security architecture and data handling, and design solutions that meet their specific regulatory and organizational requirements. The role involves defining how enterprises approach security and compliance in the age of AI, particularly concerning MCP, autonomous agents, and RBAC.
Responsibilities
- Serve as the primary security and compliance expert during customer engagements, addressing technical questions about Claude's architecture, data flows, encryption, access controls, and deployment models.
- Partner with CISOs, security architects, and compliance teams at healthcare and life sciences organizations to understand their security requirements and design solutions that meet regulatory standards.
- 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 to align on strategy, prepare for security discussions, and ensure continuity from initial conversations through deployment.
- Partner with Anthropic’s product and engineering teams to understand Claude's security capabilities, provide customer feedback, assess technical feasibility of security 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 inform customers about key security requirements and considerations.
- Travel regularly to customer sites for security workshops, architecture reviews, and strategic account meetings.
Requirements
- 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 requirements.
- Experience navigating compliance frameworks relevant to healthcare and life sciences organizations (HIPAA, GxP, HITECH, SOC 2, PCI-DSS, and GDPR).
- 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.
- Excellent communication skills, able to explain complex security topics clearly to both technical and non-technical audiences.
- Ability to navigate ambiguity and move fast in a rapidly evolving market.
- Collaborative mindset.
- Excitement about AI's potential to transform highly regulated industries and a desire to help customers adopt it safely and responsibly.
- Bachelor’s degree or equivalent experience.