Q

Senior AI Security Engineer / AI Security Architect

Quantix, Inc. • United State
Remote
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AI Summary

Lead the design, implementation, and governance of AI/ML security controls across the enterprise, collaborating with security, engineering, and IT teams to ensure secure AI development, deployment, and operation while aligning with industry standards and regulatory requirements.

Key Highlights
Lead AI/ML security strategy, governance, and risk mitigation for enterprise-wide AI solutions
8+ years of security engineering experience with a focus on AI/ML systems and threat modeling
Hands-on experience securing AI/ML systems, including red teaming and compliance with frameworks like NIST AI RMF and OWASP
Key Responsibilities
Design, implement, and govern security controls for AI/ML technologies across the enterprise
Collaborate with Information Security, Engineering, IT, and customer-facing teams to ensure secure AI development, deployment, and operation
Define and execute enterprise security strategies tailored for AI/ML systems, aligning with emerging standards and regulatory requirements
Conduct hands-on AI red teaming and threat modeling for AI/ML systems and supporting infrastructure
Ensure secure integration of AI/ML solutions within cloud-based, hybrid, or on-prem tool stacks
Technical Skills Required
AI/ML Security Threat Modeling Enterprise Security Strategy
Benefits & Perks
100% remote work (anywhere in the US)
Competitive compensation (75-85 range, W2 or C2C)

Job Description


Title: Senior Application Security Engineer

Location: 100% Remote Anywhere in US

Type: Contract

Duration: 6 months

Start: ASAP

Rate: 75-85, W2 or C2C (US Citizen or Green Card only)


Job Description: We are seeking an experienced AI Security Engineer / AI Security Architect to lead the design, implementation, and governance of security controls for AI and machine learning technologies across the enterprise. This role will partner with Information Security, Engineering, IT, and customer-facing teams to ensure AI solutions are developed, deployed, and operated securely while aligning with emerging industry standards and regulatory requirements.


Required Qualifications

  • Bachelor’s degree in Computer Science, Software Engineering, Information Security, or a related field or equivalent hands-on experience.
  • Minimum 8 years of experience in security engineering, information security, or related technical disciplines, with a demonstrated focus on securing AI/ML systems.
  • Proven experience defining and executing enterprise security strategies.
  • Experience and deep technical knowledge of how AI/ML technologies work.
  • Deep familiarity with AI security frameworks (e.g., NIST AI RMF, MITRE ATLAS, OWASP).
  • Experience securing organizational tool stacks including cloud-based, hybrid or on-prem solutions.
  • Deep knowledge of AI related threats, risks and mitigation strategies.
  • Strong foundation in core security principles—threat modeling, secure design, and identity and access control—applied to AI/ML systems and the infrastructure that supports them.

Hands-on experience securing AI/ML systems, including practical AI red teaming.


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