Design and maintain structured guidelines and controls to secure AI systems, covering data protection, model security, and compliance requirements.
Evaluate and utilize established frameworks such as Google’s Secure AI Framework (SAIF), NIST AI Risk Management Framework, or the Framework for AI Cybersecurity Practices (FAICP) as references or baselines.
Identify, assess, and mitigate security risks specific to AI, including adversarial attacks, data poisoning, model inversion, and unauthorized access.
Conduct regular vulnerability assessments and penetration testing on AI models and data pipelines.
Ensure data used in AI systems is encrypted, anonymized, and securely stored.
Implement robust access controls (e.g., RBAC, ABAC, Zero Trust) for sensitive AI data and models
Protect AI models from tampering, theft, or adversarial manipulation during training and deployment.
Monitor and log AI system activity for anomalies or security incidents
Develop and enforce policies to ensure AI systems adhere to industry regulations, ethical standards, and organizational governance requirements.
Promote transparency, explainability, and fairness in AI models.
Establish real-time monitoring and advanced threat detection for AI systems.
Develop and maintain an AI incident response plan for prompt mitigation and recovery.
Educate teams on AI security best practices and foster a security-aware culture.
Collaborate with IT, data science, compliance, and business units to align AI security with organizational goals.
Requirements
Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.
3+ years experience in AI/ML roles, including hands-on model development and deployment.
Track record of delivering AI solutions that drive business value.
Strong understanding of AI/ML concepts, architectures, and security challenges.
Strong programming skills in Python, R, or similar languages.
Strong experience in Google Cloud Platform (GCP) or equivalent.
Solid understanding of machine learning algorithms, neural networks, NLP, and computer vision.
Experience with cloud AI/ML services and deployment pipelines is a plus.
Experience with security frameworks (e.g., SAIF, NIST, FAICP) and regulatory compliance.
Proficiency in data protection techniques, encryption, and secure access management.
Familiarity with adversarial machine learning, model hardening, and input sanitization.
Knowledge of incident response, monitoring tools, and threat intelligence platforms.
Excellent communication and documentation skills for policy development and stakeholder engagement.
Benefits
Immediate medical, dental, vision and prescription drug coverage
Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
Vehicle discount program for employees and family members and management leases
Tuition assistance
Established and active employee resource groups
Paid time off for individual and team community service
A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
Paid time off and the option to purchase additional vacation time
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.