AI Security Architect

Duties

• Create deliverables that illustrate how to strategically move the business forward.
• Define and maintain AI security reference architectures, design patterns, and standards covering data ingestion, model training, deployment, inference, and monitoring.
• Establish AI security governance frameworks, guardrails, and risk management practices aligned with enterprise security architecture and compliance requirements.
• Ensure secure use of generative AI, large language models (LLMs), and third-party AI services through policy, technical controls, and architectural review.
• Enhance Security Posture
• Drive greater usage of AI within security team to improve posture and operations.
• Develop new ML/AI use cases to include AgenticAI and drive to execution within security and cloud operations.
• Threat Modeling and Risk Management
• Conduct AI-specific threat modeling and risk assessments, including risks related to data poisoning, adversarial attacks, model theft, prompt injection, and unauthorized model usage.
• Define mitigations and compensating controls for identified risks across cloud, application, API, and data layers.
• Partner with detection and response teams to design monitoring and logging for AI systems.
• Secure Design and Implementation
• Engage key business stakeholders to facilitate both strategy and innovation planning.
• Review and approve AI solution designs to ensure alignment with security, privacy, and resilience requirements.
• Design controls for secure data pipelines, secure model storage, controlled model access, and protected inference endpoints.
• Guide development teams on secure coding, API security, identity and access management, and secrets management for AI workloads.
• Compliance, Privacy, and Responsible AI
• Collaborate with legal, privacy, and compliance teams to ensure AI solutions meet regulatory and internal policy obligations.
• Support audits, risk reviews, and control assessments related to AI systems.
• Contribute to responsible AI practices by integrating security, privacy, and risk considerations into enterprise AI standards.

Knowledge & Experience

• Bachelor's degree in business, computer science, information systems or related discipline, or equivalent and extensive related project experience; Master’s degree preferred.
• 7+ years of progressive experience as an architect, with at least 3 years experience in artificial intelligence and generative AI.
• 5+ years of business or IT experience with a direct responsibility for strategy formulation and/or translation, business analytics, and program management, application development, middleware, database management or operations.

Skills

• Strategic planning
• Leadership
• Business relationship management
• Business process management
• Facilitation and organization change management
• Business transformation and process redesign methods
• Business process management, workflow and integration methods and tools
• Customer Focused
• Critical Thinking
• Team Mentality
• Business Acumen
• Learning Agility