Qualifications

The ideal candidate will possess a minimum of 8+ years of relevant professional experience in AI security engineering or related fields. A strong background in securing AI/ML lifecycle stages, including model development, training, evaluation, deployment, and operational environments, is essential. Candidates should demonstrate hands-on experience with AI red teaming, vulnerability assessments, threat modeling, and security testing techniques such as prompt injection, jailbreaks, and adversarial attacks. Familiarity with secure CI/CD pipelines, configuration management, and cloud security is also required. Certifications such as CISSP, CCSP, CISM, or equivalent, along with cloud security certifications from providers like Microsoft, AWS, or Google Cloud, are highly desirable. Candidates should also possess excellent problem-solving, analytical, communication, and stakeholder management skills.

Responsibilities

• Perform comprehensive security assessments and threat modeling for AI, ML, Generative AI, and LLM-based solutions to identify vulnerabilities and develop mitigation strategies.
• Design, implement, and monitor AI security controls, guardrails, and detection capabilities to prevent and respond to security incidents.
• Conduct AI red-team exercises, simulating attack scenarios such as prompt injection, jailbreaks, model manipulation, data leakage, and adversarial attacks to evaluate system resilience.
• Secure the entire AI lifecycle, including model development, training, evaluation, deployment, and ongoing operations, ensuring compliance with security standards.
• Embed security controls within AI CI/CD pipelines and configuration management processes to automate security best practices.
• Collaborate closely with data scientists, AI engineers, architects, and governance teams to define and enforce AI security standards, patterns, and control requirements aligned with enterprise governance.
• Analyze emerging AI threats, vulnerabilities, and attack techniques to continuously improve defensive controls and testing methodologies.
• Support the secure and responsible adoption of AI technologies across enterprise environments by providing guidance, training, and best practices.

Benefits

Vbeyond offers a comprehensive benefits package designed to support our employees' well-being and professional development. Our offerings include competitive salary packages, health insurance, retirement plans, and paid time off. We promote a flexible work environment that values work-life balance and encourages innovation. Additionally, employees have access to continuous learning opportunities, certifications, and training programs to enhance their skills. Vbeyond fosters a culture of recognition, collaboration, and growth, ensuring our team members are motivated and engaged in their roles.

Equal Opportunity

Vbeyond is an equal opportunity employer committed to fostering an inclusive and diverse workplace. We do not discriminate based on race, color, religion, gender, sexual orientation, gender identity or expression, age, disability, or any other protected characteristic. We believe that diverse perspectives and experiences drive innovation and excellence, and we are dedicated to providing a supportive environment where all employees can thrive and succeed.