onsite
AI Security Architect - Emergent
Software Engineer
Lead the design and implementation of secure AI solutions, ensuring robust machine learning models, data privacy, and compliance across cloud platforms.
About the role
Key Responsibilities
- Architect end‑to‑end security for AI applications, integrating threat modeling, data encryption, and secure model deployment.
- Collaborate with data scientists and engineers to embed security controls into ML pipelines and model training workflows.
- Define and enforce security policies for cloud infrastructure (AWS) and CI/CD pipelines, ensuring compliance with industry standards.
- Conduct risk assessments, penetration tests, and vulnerability scans on AI services, providing actionable remediation plans.
- Stay current with emerging AI security threats and develop proactive countermeasures.
Requirements
- 5+ years of experience in cybersecurity, with a focus on AI/ML security.
- Proficiency in AWS security services (IAM, KMS, GuardDuty, Security Hub) and DevSecOps practices.
- Strong understanding of machine learning frameworks (TensorFlow, PyTorch) and secure model deployment.
- Experience with threat modeling, data privacy regulations (GDPR, CCPA), and secure coding standards.
- Excellent communication skills and ability to translate complex security concepts to technical and non‑technical stakeholders.