AI/ML Security Specialist - Junior, Mid-Level & Senior [U.S. Citizenship Required]

Via Logic•Ashburn, VA

4d•Onsite

About The Position

Via Logic is hiring AI/ML Security Specialists at junior, mid-level, and senior levels to support U.S. Customs and Border Protection. The role evaluates AI applications and implementations, identifies vulnerabilities and operational risks, conducts authorized adversarial testing, and recommends ways to strengthen security defenses. The work also includes assessing how attackers could use AI against existing systems and supporting secure AI/ML implementation practices. Positions are primarily onsite at a government site in Ashburn, Virginia. The work is performed within approved scope and under government direction, in accordance with applicable government policies, standards, and approved testing procedures. The task lists weekday core coverage of 8:30 a.m.–5:00 p.m.; the specific schedule and worksite expectations will be confirmed for the assignment. Candidates must be U.S. citizens and meet and maintain the background investigation, suitability, and any security clearance requirements applicable to their assignment. This is a full-time, W-2 position. Annual compensation is $90,000–$139,000, depending on experience, qualifications, and assignment. Anticipated ranges are $90,000–$112,000 for junior, $108,000–$130,000 for mid-level, and $117,000–$139,000 for senior candidates. Via Logic offers healthcare coverage and paid time off, along with opportunities to deepen a specialty and explore adjacent areas of cybersecurity.

Requirements

U.S. citizenship.
Meet and maintain the background investigation, suitability, and any security clearance requirements applicable to the assignment.
Availability to work onsite at a government site in Ashburn, Virginia.
Relevant professional experience in cybersecurity, application security, security testing, AI/ML security, or a closely related technical discipline.
Hands-on experience assessing technical systems or applications for vulnerabilities and explaining their potential impact.
Understanding of AI/ML concepts and how security risks can arise across models, data, applications, and supporting infrastructure.
Ability to develop or execute repeatable tests, analyze results, and document findings.
Experience translating technical findings into practical security controls or remediation recommendations.
Clear technical writing and communication skills.
Ability to collaborate with engineers, security teams, and government stakeholders.
Junior level: 2 or more years of relevant experience; able to support defined testing activities, analyze results, and document findings with guidance.
Mid-level: 5 or more years of relevant experience; able to independently execute assigned testing, evaluate risks, and recommend corrective actions.
Senior level: 7 or more years of relevant experience; able to contribute to complex assessments, shape testing methods, evaluate defensive approaches, and guide others through findings and remediation.

Nice To Haves

A bachelor’s degree in Computer Science, Cybersecurity, Information Technology, Engineering, Data Science, or a related field.
Experience assessing AI/ML applications or conducting AI adversarial testing.
Experience evaluating threats such as prompt injection, sensitive-data exposure, adversarial inputs, or data poisoning.
Scripting or programming experience used to automate testing, analyze results, or reproduce security findings.
Experience developing security testing plans, assessment reports, or operating procedures.
Experience supporting federal cybersecurity programs.

Responsibilities

Test and evaluate AI applications and implementations to identify security vulnerabilities and operational risks.
Conduct authorized adversarial testing under the direction of government stakeholders.
Assess AI/ML models and applications for security weaknesses, adversarial threats, and data privacy concerns.
Review existing cyber defenses to identify potential exposure to AI-assisted attacks.
Recommend and help implement security controls and defensive measures to address identified risks.
Develop and maintain testing plans, methods, and standard operating procedures.
Document testing results, supporting evidence, and actionable recommendations for corrective action.
Communicate findings to technical teams, government stakeholders, and decision-makers.
Support secure AI/ML implementation practices and contribute to security guidance addressing emerging risks.
Perform work in accordance with applicable government policies, standards, and approved testing procedures.