AI Security Engineer

Job Summary:

As an AI Security Engineer, you will design and implement robust security measures for AI and machine learning systems. You will apply industry-leading frameworks, such as the NIST AI Risk Management Framework (AI RMF), while addressing risks identified by MITRE ATLAS and the OWASP ML and AI Top 10 lists. Your work will strengthen our organization’s AI ecosystem, safeguarding sensitive data and ensuring ethical, secure, and resilient AI operations.

Key Responsibilities:

• Develop and implement security controls for AI systems aligned with industry and emergent best practices.

• Identify and mitigate security risks by analyzing vulnerabilities and threat analysis.

• Collaborate with cross-functional teams, including data scientists, engineers, and product managers, to ensure security is embedded throughout the AI development lifecycle.

• Perform threat modeling, penetration testing, and vulnerability assessments tailored to AI and machine learning models.

• Design and integrate mechanisms to detect and defend against adversarial attacks, data poisoning, and model inversion threats.

• Monitor and evaluate AI systems post-deployment to ensure ongoing compliance with security standards and frameworks.

• Educate stakeholders on AI security risks and best practices through workshops, documentation, and training.

• Lead efforts to maintain up-to-date knowledge of emerging threats and advancements in AI security.

Desired Outcomes:

• Reduced security risks in AI systems through proactive mitigation strategies.

• Compliance with AI security standards and best practices, ensuring trust and resilience.

• Enhanced organizational awareness and preparedness for evolving AI threats.

Required Qualifications:

• Bachelor’s degree in Computer Science, Data Science, Cybersecurity, or a related field, or equivalent experience.

• Proven experience in AI security, machine learning engineering, or cybersecurity roles.

• Proficiency in AI/ML concepts, including model training, evaluation, and deployment.

• Strong knowledge of security frameworks such as the NIST AI RMF, MITRE ATLAS, and the OWASP ML and AI Top 10 lists.

• Experience with programming languages such as Python and familiarity with machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn).

• Understanding of adversarial machine learning techniques and defenses.

• Excellent communication and collaboration skills to work effectively with diverse teams.

Preferred Qualifications:

• Certifications such as CISSP, GMLE, GWAPT, or related cybersecurity credentials.

• Experience with cloud platforms and AI/ML services (e.g., AWS, Azure, GCP).

• Knowledge of data privacy regulations and ethical AI practices.

• Proficiency in Secure Software Development Lifecycle (S-SDLC) implementation.

As an Inmar Associate, you:

• Put clients first and consistently display a positive attitude and behaviors that demonstrate an awareness and willingness to listen and respond to clients in order to meet their short-term and long-term needs, requirements and exceed their expectations. 

• Treat clients and teammates with courtesy, consideration and tact; you also have the ability to perceive the needs of internal and external clients and communicate effectively with the objective of delighting and retaining the client. 

• Build collaborative relationships and work cooperatively with others, inside and outside the organization, to accomplish objectives, develop and maintain mutually-beneficial partnerships, leverage information to achieve results. 

• Set and attain achievable, yet aggressive, goals with a sense of urgency and accountability. 

• Understand that results are important and focus on turning mission into action to achieve results following the principles of Flawless Execution while consistently complying with quality, service and productivity standards to meet deadlines and exceed expectations by giving our clients the best possible outcome.

We are an Equal Opportunity Employer, including disability/vets.