AI Security Engineer

About the role

We are looking for an experienced AI Security Engineer to support cybersecurity engineering, vulnerability management, security operations, and secure application development initiatives. This role will partner with technical teams, project managers, stakeholders, and senior leadership to strengthen the organization’s security posture, improve threat detection and incident response capabilities, and ensure alignment with cybersecurity standards, governance, and compliance requirements. The ideal candidate will bring hands-on experience across cybersecurity engineering, vulnerability management, full Software Development Life Cycle (SDLC), security operations, and production application environments. Experience with Generative AI and Large Language Models is highly desirable.

Location: Fort Worth, TX. Duration: Through December 31, 2026. Work Requirements: US Citizen, Green Card Holders, or Authorized to Work in the U.S.

Responsibilities

• Partner with senior leadership, project managers, and stakeholders to align cybersecurity initiatives with business and technology objectives.
• Identify, communicate, and manage cybersecurity risks, project risks, and security strategies.
• Support cybersecurity governance, regulatory compliance, security standards, and reporting.
• Oversee and enhance security operations, threat monitoring, incident response, and vulnerability management processes.
• Develop and implement secure communication protocols to protect sensitive information and maintain system integrity.
• Design and execute advanced threat detection, incident response, containment, and remediation processes.
• Support the integration of cybersecurity controls with broader infrastructure and physical security requirements.
• Coordinate technical resources and project activities to ensure successful delivery of cybersecurity initiatives.
• Develop security operations strategies, governance frameworks, performance metrics, and KPIs.
• Communicate security risks, operational performance, incidents, and compliance status to leadership and key stakeholders.
• Mentor cybersecurity professionals and support continuous improvement through training and knowledge sharing.
• Contribute to secure application development and implementation across hosted production environments.

Requirements

• Bachelor’s degree in Computer Science, Computer Engineering, Technology, Information Systems, Engineering, or a related technical discipline, or equivalent relevant experience/training.
• 3-5 years of experience in Vulnerability Management.
• 3-5+ years of experience in Cybersecurity Engineering.
• 3-5+ years of full Software Development Life Cycle (SDLC) experience, including designing, developing, and implementing large-scale applications in hosted production environments.
• 3-5+ years of professional technical experience involving solution design and/or open-source technologies.
• Hands-on experience with security operations, threat detection, incident response, and cybersecurity risk management.
• Strong communication skills with the ability to present technical risks, strategies, and recommendations to technical and non-technical stakeholders.

Preferred Qualifications

• Master’s degree in Computer Science, Computer Engineering, Technology, Information Systems, Engineering, or a related technical discipline.
• 5+ years of full Software Development Life Cycle (SDLC) experience.
• Experience developing and implementing Generative AI solutions using Large Language Models (LLMs) such as OpenAI GPT, Google Gemini, or Llama.
• Python programming experience.
• Certification in Python Programming and/or Artificial Intelligence.
• Experience supporting security governance, compliance, SOC operations, and cybersecurity performance reporting.

Benefits

• Comprehensive medical benefits
• Competitive pay
• 401(k) retirement plan

Pay

W2 $60/hr; C2C