Executive AI Security Architect & Strategy Lead

Mitchell Martin Inc.; Charlotte (NC); On-site; USD 190,000 - 220,000; Full time

Job summary

Mitchell Martin Inc. seeks a Sr. Senior AI Security Architect at director level in Charlotte, NC to lead the design and governance of enterprise AI security architecture and risk management.

This full-time role combines strategic leadership with hands-on expertise in AI, machine learning, and cybersecurity, guiding secure patterns across data ingestion, model development, and operations while shaping governance and compliance programs.

Qualifications

• Bachelor's degree in a relevant field or equivalent experience.
• 10+ years in cybersecurity or security architecture.
• 7+ years leading enterprise security architecture initiatives.
• Experience with architecture reviews, threat modeling, and security assessments.
• Strong knowledge of AI, ML, and cybersecurity practices.

Responsibilities

• Define and maintain enterprise AI security architecture strategy and standards.
• Lead secure architecture patterns across data ingestion, model development, and operations.
• Conduct AI security architecture reviews and risk assessments for platforms and services.
• Establish security controls for AI platforms, cloud environments, and data protection.
• Serve as a trusted advisor on AI security risks and regulatory expectations.

Skills

10+ years cyber security

Security architecture leadership

Architecture reviews

Threat modeling

Security assessments

AI/ML security knowledge

Education

Bachelor's degree or equivalent experience

Tools

Cloud Platforms

Identity and Access Management

AI and Machine Learning

Cybersecurity Frameworks

Job description

Mitchell Martin Inc. seeks a Sr. Senior AI Security Architect at director level in Charlotte, NC to lead the design and governance of enterprise AI security architecture and risk management.

This full-time role combines strategic leadership with hands-on expertise in AI, machine learning, and cybersecurity, guiding secure patterns across data ingestion, model development, and operations while shaping governance and compliance programs.