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InterSources

Chandler / Global

Principal Cloud Security Architect

Job Description

Principal Cloud Security Architect – Gen AI Client is seeking a highly skilled and experienced Application Security Architect with expertise in Generative AI (Gen AI) platforms and environments to join client's team. The Security Architect will be responsible for designing, implementing, and maintaining robust security solutions in Gen AI driven ecosystems. This role involves collaborating with various teams to ensure the security of AI based applications, services, and infrastructure, while adhering to industry best practices and compliance standards.

Key Responsibilities:

Develop and implement comprehensive security architectures and frameworks for Gen AI based systems, including identity and access management, data protection, model security, network security, and logging/monitoring.

Conduct security assessments, threat modeling, and risk analysis of Gen AI environments to identify potential vulnerabilities.

Develop and implement strategies to mitigate risks.

Ensure compliance with relevant industry standards and regulations (e.g., GDPR, HIPAA, SOC 2, AI Act) within Gen AI environments.

Establish and enforce security policies and procedures.

Advocate for and implement security best practices across all AI/ML environments.

Stay updated with the latest security threats, trends, and technologies, particularly those related to Gen AI and large language models (LLMs).

Qualifications:

Strong understanding of Gen AI platforms and security services, including model lifecycle security, data governance, access controls, adversarial threat defense, and AI monitoring/observability.

Experience with security frameworks such as CIS, NIST, ISO 27001, OWASP, and familiarity with AI security best practices.

Relevant certifications such as CISSP, CISM, CCSP, or AI security focused certifications are highly desirable.

Excellent communication and collaboration skills, with the ability to work effectively across teams and stakeholders.

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