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Secure AI Engineer
1 week ago
Tech Innovation Institute is a leading research organization dedicated to advancing AI applications and creating responsible AI agents for knowledge workers. We are seeking a highly skilled Secure AI Engineer to join our team and ensure that our AI-driven solutions are secure and compliant from the ground up.
About the Role:
We are looking for an experienced security engineer who can lead the design and implementation of secure architectures for our Large Language Model (LLM) powered solutions. As a Secure AI Engineer, you will work closely with product teams, DevOps, and AI experts to protect sensitive data, including encryption, access control, and secure data storage.
Key Responsibilities:- Secure Architecture & Design: Collaborate with engineering and AI teams to design secure architectures for LLM-based solutions and implement security measures to safeguard our AI models, client data, and AI solutions.
- Threat Detection & Response: Proactively monitor, detect, and respond to security threats across AI systems, infrastructure, and applications. Lead investigations into potential security incidents and ensure timely and effective resolution.
- Vulnerability Management: Conduct regular vulnerability assessments, penetration testing, and security audits on AI systems, APIs, and infrastructure. Collaborate with the engineering team to mitigate and remediate identified vulnerabilities.
- Cloud Security: Oversee the security of cloud-based AI infrastructure and ensure proper access management, network security, and secure deployment pipelines for LLM applications.
- Security Automation: Automate security monitoring, incident response, and patching processes to reduce manual intervention and enhance system resilience.
- Model Security: Work with AI researchers and engineers to ensure that LLM models are deployed securely and maintain model integrity. Implement techniques to protect against model manipulation and adversarial attacks.
- Collaboration & Training: Collaborate with internal teams to integrate security best practices into the AI development lifecycle. Provide training and guidance on security protocols and ensure the team remains informed about emerging threats.
- Documentation & Reporting: Maintain comprehensive security documentation, including risk assessments, incident reports, and security policies. Report on security status and metrics to senior management.
Requirements:
- Bachelor's or Master's degree in Computer Science, Cybersecurity, or a related field.
- 3+ years of experience in a security engineering role, with a focus on infrastructure, application, and cloud security.
- Experience securing machine learning models, particularly large-scale LLMs or other AI technologies.
- Strong knowledge of cloud platforms (AWS, GCP, Azure) and cloud security best practices.
- Experience with security tools and practices, including vulnerability scanning, encryption, network security, and incident response.
- Familiarity with AI/ML-specific security challenges, such as model poisoning, adversarial attacks, and data privacy concerns.
- Hands-on experience with security automation tools, SIEM systems, and infrastructure-as-code tools (e.g., Terraform, CloudFormation).
- Strong understanding of regulatory compliance requirements for AI systems and data protection (e.g., GDPR, CCPA, HIPAA).
- Proficiency in scripting languages (e.g., Python, Bash) for automating security tasks and workflows.
- Strong problem-solving skills with a proactive mindset and attention to detail.
