AI Security Engineer — Hybrid AWS & AI Governance

Structure Therapeutics; South San Francisco (CA); Hybrid; USD 147,000 - 185,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401k match

Unlimited PTO

Paid holidays

Job summary

Structure Therapeutics, a biotech-focused company, is hiring an AI Security Engineer to design, implement, and maintain security for our AI/ML platform on AWS. You will safeguard models, data pipelines, and infra while shaping AI governance and policies.

The ideal candidate has 5+ years in cybersecurity with 2+ years securing AI/ML or cloud environments, and hands-on AWS security experience. Hybrid SG Bay Area presence preferred.

Qualifications

• Bachelor’s degree in Computer Science, Cybersecurity, Information Technology, or a related field. Master’s degree preferred.
• 5+ years of cybersecurity experience, 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 (TensorFlow, PyTorch) and their security implications.
• Experience developing or implementing security policies and governance frameworks.
• Knowledge of data privacy regulations (GDPR, HIPAA) and their application to AI systems.

Responsibilities

• AI/ML Security Design and Implementation: 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.
• Cloud Security: Design and maintain secure AWS architectures for AI/ML workloads, leveraging services like SageMaker, Lambda, and S3.
• Implement IAM policies, encryption, and network security controls in AWS.
• Monitor and respond to security incidents within the AI/ML platform.
• AI Governance and Policy Development: Develop AI governance frameworks and security policies; conduct risk assessments and audits.
• Collaboration and Support: Work with Data/MLEng/DevOps to embed security, provide training, and support milestones.
• Threat Monitoring and Incident Response: Monitor for threats, develop incident response plans, stay updated on AI security threats.

Skills

AWS security

AI/ML security

Security governance

TensorFlow / PyTorch

Linux scripting

Python / Bash

DevOps practices

Regulatory compliance (FDA, HIPAA)

Education

Bachelor's in CS/Cybersecurity/IT

Master's preferred

Tools

AWS IAM

KMS

CloudTrail

GuardDuty

Job description

Structure Therapeutics, a biotech-focused company, is hiring an AI Security Engineer to design, implement, and maintain security for our AI/ML platform on AWS. You will safeguard models, data pipelines, and infra while shaping AI governance and policies.

The ideal candidate has 5+ years in cybersecurity with 2+ years securing AI/ML or cloud environments, and hands-on AWS security experience. Hybrid SG Bay Area presence preferred.