Information Security Architect - AI

Primary Responsibilities

• Review and assess Generative AI implementations to identify risks and ensure compliance with enterprise policies, industry standards, and regulatory frameworks.
• Design and implement security controls aligned with both IT systems and business objectives, with emphasis on AI-specific risks.
• Develop and apply AI risk models aligned with NIST AI RMF, ISO/IEC 42001, and other emerging frameworks.
• Integrate AI risk considerations into enterprise governance processes; lead or support reviews of AI and emerging technology deployments.
• Apply threat modeling techniques such as the OWASP Top 10 for LLMs to identify, prioritize, and mitigate AI-specific risks.
• Collaborate with cross-functional teams (engineering, data science, compliance, product) to embed security into AI solution design and deployment.
• Continuously monitor emerging trends in AI governance, security standards, and enterprise risk management best practices.

Required Qualifications

• Strong understanding of AI risk management, with working knowledge of NIST AI RMF and ISO/IEC 42001.
• Experience in information security with proven ability to assess and implement controls for IT and cloud environments.
• Familiarity with AI threat models (e.g., OWASP LLM Top 10) and risk mitigation strategies.
• Strong grasp of cybersecurity fundamentals, IT risk, and enterprise governance.
• Excellent communication skills, with ability to translate technical risks into business-aligned narratives.
• Certifications: CISSP, CISA, CISM, or relevant AI governance certifications (e.g., ISACA AI Governance).

Preferred Qualifications

• Hands-on experience with leading AI platforms, including: Azure OpenAI Services – secure deployment and governance practices, AWS Bedrock – evaluation and integration of models such as Anthropic Claude, Google Cloud Vertex AI – secure implementations within enterprise contexts, Microsoft Copilot – integration patterns and associated risks.
• Experience with cloud security best practices and enterprise risk management.
• Background in designing or operationalizing AI governance programs at scale.

Soft Skills

• Ability to influence and engage stakeholders across technical and business teams.
• Strong problem-solving, critical thinking, and analytical skills.
• Collaborative, proactive, and adaptable mindset.