Lead, Info Security Sys Engineering (AI Security)

L3HHCM20•Melbourne, NY

4d•$110,500 - $236,500•Onsite

About The Position

The AI Lead is responsible for implementing enterprise security strategy, architecture, and governance for AI, and cloud workloads. Reporting within the CISO organization, this role focuses on secure-by-design architecture, enterprise guardrails, risk-informed adoption strategies, and security integration of modern platforms. This role partners closely with Security Architecture, Enterprise Architecture, Infrastructure and Data/AI teams to establish secure, scalable, and reusable solutions that enable rapid, secure, and compliant adoption of AI capabilities across the enterprise. The role focuses on ensuring best-practice cybersecurity and governance foundations are followed for all AI workloads.

Requirements

Bachelor’s Degree and minimum 9 years prior Palantir experience or Graduate Degree and a minimum of 7 years of prior Palantir experience. In lieu of degree, minimum 13 years of prior Palantir experience.
4-6 years’ experience in cloud / security engineering, including 2+ years hands-on with Microsoft 365 / Azure or AWS.

Nice To Haves

Hands-on experience with O365 and Azure GCCH Government clouds
Any Microsoft, Cyber Security or AI related certifications are a plus. Examples include: Microsoft: MS: SC-200 (Security Operations), MS SC-300 (Identity), MS 102 (M365 Admin) or AZ 104 (Azure Admin), SC 100 (Microsoft Cyber Security Architect), AI-102 (Microsoft Azure AI Engineer)
CISSP, or others from ISC2
OSCP, other Offensive Security certifications
GIAC / SANs certifications
Experience with governance frameworks such as NIST 800-53, 800-171, CMMC, and ISO 27001.

Responsibilities

Implement enterprise AI security and governance frameworks covering model lifecycle, data boundaries, and risk controls.
Manage AI security services and policies within platforms like Microsoft Agent 365, Defender, Purview DLP, CoPilot Studio, Microsoft Foundry and AWS Bedrock.
Advise leadership on emerging AI technologies, associated risks, and secure platform adoption strategies.
Review security and governance best-practices and ensure they are implemented across AI workloads.
Review of service principles and conditional-access settings to ensure least-privilege to resources and zero-trust access across AI workloads.
Work closely with stakeholders inside of IT and within other business functions to enforce the organizational security strategy.
Translate complex technical issues into clear, actionable insights for stakeholders.
Contribute to security standards, architectural guidance and policy improvements.