Scientist, Info Security Sys Engineering (AI Security)

L3Harris Technologies•Melbourne, TX

1d•$160,000 - $341,500

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, the role focuses on secure-by-design architecture, enterprise guardrails, risk-informed adoption strategies, and security integration of modern platforms. The role partners 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. It ensures that best-practice cybersecurity and governance foundations are followed for all AI workloads.

Requirements

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

Nice To Haves

Hands-on experience with O365 and Azure GCCH Government clouds.
Microsoft, cybersecurity, or AI-related certifications, such as Microsoft SC-200, SC-300, MS-102, AZ-104, SC-100, or AI-102.
CISSP or other ISC2 certifications.
OSCP or other Offensive Security certifications.
GIAC/SANS certifications.
Experience with governance frameworks such as NIST 800-53, NIST 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 such as 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 service principles and conditional-access settings to ensure least-privilege access to resources and zero-trust access across AI workloads.
Work with stakeholders within IT and 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.