Description

You own the security posture of AI/ML systems through compliance and technical engineering.

This role is on-site.

Responsibilities

• Serve as subject matter expert on NIST SP 800-53 controls and the end-to-end NIST Risk Management Framework (RMF).
• Lead and manage the Authorities to Operate (ATO) process for systems, from initial assessment through accreditation.
• Develop and maintain critical security documentation, including System Security Plans (SSP) and Security Assessment Reports (SAR).
• Partner with AI/ML engineers to embed security into the development lifecycle (AISecOps) and perform threat modeling.
• Design and implement security architecture across cloud (AWS, Azure, GCP) and on-premises environments.

Required Skills

• 5+ years of hands-on experience in cybersecurity engineering or analyst roles.
• Expert-level experience with NIST RMF and successfully achieving ATO for federal or DoD systems.
• Deep understanding of NIST 800-53 (Rev 4 or 5) security controls.
• Strong technical background in cloud security using AWS, Azure, or GCP.
• Experience with infrastructure-as-code tools like Terraform or CloudFormation.
• Proficiency with security tools including Tenable, Splunk, and Wiz.
• Experience with CI/CD Pipelines.
• Demonstrated ability to conduct security control assessments and gap analyses.

Preferred Skills

• Experience with LLM security and AI-specific threat models.

Key Skills

Education

Any Graduate