Enterprise AI Security Architect

Job Title: Enterprise AI Security Architect

Job Summary:

An Enterprise AI Security Architect is pivotal in safeguarding the artificial intelligence (AI) ecosystems of the global organization. This role encompasses the design, implementation, and oversight of robust security frameworks specifically tailored for AI applications and machine learning (ML) operations across global hybrid multi-cloud platforms and technologies. With a minimum of 5 years of experience in the field, the ideal candidate will be responsible for designing and implementing information security solutions, focusing on areas such as Firewall, Encryption, Identity and Access Management, Cloud Security, and Cyber Security. Familiarity with SIEM technologies is a plus.

Key Responsibilities:

• Design and implement a secure architecture for deploying and running ML models on-premise.
• Stay up-to-date with the latest security trends, threats, and technologies
• Identify and implement appropriate security controls for data access, model confidentiality, and infrastructure protection.
• Develop and implement security policies, procedures, and standards
• Conduct security assessments and risk analyses
• Provide guidance and support to team members on security issues
• Develop and deliver training programs to ensure that all employees are aware of and comply with security policies and procedures Security Design and Architecture:Design cybersecurity architectures for AI and machine learning (ML) projects that align with overall cybersecurity strategies. *Risk Management:Conduct risk assessments for AI systems, identifying potential security vulnerabilities, and proposing mitigation strategies. *Strong knowledge of AI technologies and their inherent security risks. *Experience with security architectures, frameworks, and regulations affecting AI. *Professional certifications in cybersecurity (e.g., CISSP, CISM) and/or AI (e.g., Microsoft Certified: Azure AI Engineer).

Requirements:

• Strong understanding of cloud security principles and best practices (IAM, encryption, logging, etc.) with experience in at least one major cloud platform (AWS, Azure, GCP).
• Expertise in securing on-premise infrastructure, including firewalls, intrusion detection/prevention systems, and network segmentation.
• Knowledge of machine learning security threats (e.g., adversarial attacks, data poisoning) and mitigation strategies.
• Experience in developing, implementing, and maintaining security policies and procedures to ensure compliance with relevant regulations (PCI DSS, HIPAA, etc.).
• Familiarity with security automation tools and scripting languages (e.g., Python, Bash) for automating security tasks.
• Familiarity with SIEM systems for centralized logging and analysis of security events.

Benefits:

• Competitive salary and benefits package
• Opportunity to work remotely and be part of a growing team
• Collaborative and supportive work environment
• Ongoing learning opportunities and professional development If you are a security professional who is passionate about protecting sensitive data and models, we encourage you to apply!