Associate Director, AI Security Architecture

About the role

Novartis is looking for an Associate Director of AI Security Architecture, a hybrid role based in Israel. The position shapes how AI is built, deployed and scaled securely, influencing the security architecture behind next-generation AI solutions. It sits at the intersection of AI, cybersecurity, cloud engineering and architecture, partnering with technical teams to protect AI models, data, pipelines and agentic systems throughout their lifecycle.

Key responsibilities

• Lead AI architectural activities and develop secure solution architectures across business and technology domains.
• Define AI security standards and best practices for 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 standards and reusable patterns.
• Assess the AI landscape and mitigate security risks across model training, deployment and operations.
• Evaluate AI security technologies and integrate security controls across AI platforms and large language models.
• Secure AI and agentic systems against model poisoning, adversarial inputs, prompt injection and jailbreaking.
• 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.
• Work with data scientists, engineers and DevOps teams to embed security throughout the AI development lifecycle.

Required profile

• 12+ years of overall professional experience, including substantial experience in security, architecture, software development and AI security engineering.
• At least 5 years each in security and architecture, 5 years in development, and 2+ years in AI security and engineering.
• Proven AI security architecture expertise covering training data, models, pipelines, deployed solutions, policies, standards and patterns.
• Strong knowledge of AI threats, threat modeling, data privacy and defenses against adversarial attacks.
• Hands-on experience securing AI and machine learning applications on cloud platforms, with strong AWS 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 specialized AI security technologies.
• Experience building developer-facing command-line tools and working in multi-vendor, global environments.