Associate Director, AI Security Architecture

Key Responsibilities

• Lead AI architectural activities and develop secure solution architectures across business and technology domains.
• Define AI security standards and best practices for protecting AI pipelines, datasets, models, and infrastructure.
• Develop logical architecture designs and strategies to secure the organization’s AI domain and infrastructure.
• Establish and evolve AI architecture governance frameworks, including methods, practices, standards, and reusable architecture patterns.
• Assess the AI landscape, identifying and mitigating security risks across model training, deployment, and operations.
• Evaluate AI security technologies and integrate appropriate security controls across AI platforms and Large Language Models.
• Secure AI and agentic systems against model poisoning, adversarial inputs, prompt injection, jailbreaking, and emerging threats.
• Design Model Context Protocol servers, AI agent workflows, secure deployment architectures, and AI gateway integrations.
• Build Python services, developer tools, integrations, and AI security harnesses supporting secure software development.
• Collaborate with data scientists, engineers, and DevOps teams to embed security throughout the AI development lifecycle.

Essential Requirements

• 12+ years of overall professional experience, including substantial experience across security, architecture, software development, and AI security engineering.
• At least 5 years of security experience, 5 years in architecture, 5 years in development, and 2+ years in AI security and engineering.
• Proven AI security architecture expertise covering training data, models, pipelines, deployed AI solutions, security policies, standards, and architecture patterns.
• Strong knowledge of AI threats, risk identification, threat modeling, data privacy, and defenses against adversarial and AI-based attacks.
• Hands-on experience securing Artificial Intelligence and Machine Learning applications across cloud platforms, with strong Amazon Web Services engineering and architecture expertise.
• Production experience with AI coding agents, Model Context Protocol servers, agent workflows, Python development, automated testing, and AI gateway integrations.

Desirable Requirements

• Security engineering or application security background, with experience evaluating and working with specialized AI security technologies.
• Experience building developer-facing command-line tools and working effectively in multi-vendor, global technology environments.