Ai Security Engineer Jobs

About The Position

Requirements

• Bachelor’s degree in Computer Science, Cybersecurity, Information Technology, or a related field. Master’s degree preferred.
• 5+ years of experience in cybersecurity, with at least 2 years focused on securing AI/ML systems or cloud-based environments.
• Hands-on experience with AWS security tools and services (e.g., AWS IAM, KMS, CloudTrail, GuardDuty).
• Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) and their security implications.
• Experience developing or implementing security policies and governance frameworks.
• Knowledge of data privacy regulations (e.g., GDPR, HIPAA) and their application to AI systems.
• Proficiency in securing cloud environments, particularly AWS.
• Experience with secure coding practices and vulnerability management.
• Knowledge of AI-specific security risks, such as model inversion, data poisoning, and adversarial attacks.
• Familiarity with Linux-based systems and scripting (e.g., Python, Bash).
• Understanding of DevOps practices and tools (e.g., Docker, Kubernetes, CI/CD pipelines).

Nice To Haves

• AWS Certified Security – Specialty
• Certified Ethical Hacker (CEH)
• Certified AI Practitioner (CertNexus) or equivalent AI-focused certification
• Experience in the BioTech or healthcare industry, with knowledge of regulatory compliance (e.g., FDA, HIPAA).
• Familiarity with AI ethics and governance frameworks.
• Prior experience working on large-scale AI/ML projects in a cloud environment.

Responsibilities

• Develop and implement security controls for AI/ML models, including data protection, model integrity, and adversarial attack mitigation.
• Secure data pipelines and ensure compliance with data privacy regulations (e.g., GDPR, HIPAA).
• Integrate security best practices into AI/ML workflows, including secure model training and deployment.
• Design and maintain secure AWS architectures for AI/ML workloads, leveraging services like AWS SageMaker, Lambda, and S3.
• Implement identity and access management (IAM) policies, encryption, and network security controls in AWS.
• Monitor and respond to security incidents within the AI/ML platform.
• Collaborate with the Director of Security and Compliance to develop AI governance frameworks, including ethical AI use and risk management.
• Create and enforce security policies for AI systems, ensuring alignment with industry standards and regulatory requirements.
• Conduct risk assessments and audits of AI/ML systems to identify and mitigate vulnerabilities.
• Work closely with Data Engineers, ML Engineers, and DevOps Engineers to embed security into the AI/ML development lifecycle.
• Provide guidance and training to team members on AI security best practices.
• Support the Technical Project Manager in ensuring security milestones are met within project timelines.
• Monitor AI/ML systems for potential threats, including adversarial AI attacks and data breaches.
• Develop and execute incident response plans specific to AI/ML environments.
• Stay updated on emerging AI security threats and incorporate proactive measures.

Benefits

• medical, dental, and vision insurance
• 401k match
• unlimited PTO
• a number of paid holidays including winter shutdown
• annual performance incentive bonus
• new hire equity
• ongoing performance-based equity