Cybersecurity Architect
4 days ago
At Technology Innovation Institute, we are pushing the boundaries of innovation and technology. Our mission is to advance AI applications and create responsible AI agents for knowledge workers. We are seeking a talented Cybersecurity Architect to join our team and ensure that our AI-driven solutions are secure and compliant from the ground up.
Job Overview:
We are looking for an experienced security professional to lead the design and implementation of secure architectures for our Large Language Model (LLM) powered solutions. As a Cybersecurity Architect, 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:- Security Architecture & Design: Work 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.
- Data Privacy & Compliance: Ensure compliance with relevant data protection regulations and implement data privacy policies to protect the confidentiality and integrity of client and model data.
- 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.
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