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About the Role

The AI Security Engineer will be a key member of the “Structure Brain” initiative, responsible for designing, implementing, and maintaining security measures for our AI/ML platform on AWS. This role will focus on securing AI models, data pipelines, and infrastructure while contributing to the development of AI governance and security policies.

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.

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.
• AWS Certified Security – Specialty (Preferred)
• Certified Ethical Hacker (CEH) (Preferred)
• Certified AI Practitioner (CertNexus) or equivalent AI-focused certification (Preferred)
• 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).
• 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.

Skills

• AI/ML Security
• Data Protection
• Model Integrity
• Adversarial Attack Mitigation
• Data Privacy Regulations (GDPR, HIPAA)
• Secure AI/ML Workflows
• AWS Security
• AWS SageMaker
• AWS Lambda
• AWS S3
• Identity and Access Management (IAM)
• Encryption
• Network Security
• AI Governance
• Risk Management
• Vulnerability Management
• Threat Monitoring
• Incident Response
• Linux Scripting (Python, Bash)
• DevOps Practices
• Docker
• Kubernetes
• CI/CD Pipelines
• Biotech/Healthcare Industry Compliance (FDA, HIPAA)
• AI Ethics

Location

• San Francisco Bay Area (Hybrid)

Work Type

• Hybrid
• Remote (with travel for connection weeks, company meetings, and conferences)

Experience Level

• 5+ years of cybersecurity experience
• 2+ years focused on securing AI/ML systems or cloud-based environments

Education Level

• Bachelor's degree in Computer Science, Cybersecurity, Information Technology, or related field
• Master's degree preferred

Salary/Compensations

• $147,000-$184,800 (base pay)

Benefits

• Annual performance incentive bonus
• New hire equity
• Ongoing performance-based equity
• Medical insurance
• Dental insurance
• Vision insurance
• 401k match
• Unlimited PTO
• Paid holidays (including winter shutdown)

About the Company

• Structure Therapeutics develops life-changing medicines using advanced structure-based and computational drug discovery technology.
• The company’s platform combines visualization of molecular interactions, computational chemistry, and data integration to design orally available, superior small molecule medicines.
• Advancing a clinical-stage pipeline of differentiated treatments focused on chronic diseases with high unmet need.
• Led by an experienced group of international drug innovators and financed by top-tier global life sciences investors.
• Completed an initial public offering (IPO) in February 2023.
• Offices in California and Shanghai, benefiting from life science innovation in both the US and China.

Equal Opportunity

• Structure Therapeutics Inc. is an Equal-Opportunity Employer.